Company Profile is an initiative by StartupTalky to publish verified information on different startups and organizations. The content in this post has been approved by Anduril.
U.S. defense is an enormous and growing market. In 2020, the U.S. spent around $778 billion on defense, with the Department of Defense contract obligations worth $448.7 billion. The growth of the country’s defense market is estimated to reach $629.93 billion by 2030 at a CARG of 0.67%. Currently, the U.S. defense industrial base includes over 200,000 companies.
With significantly changing battlefields and evolving security threats, the pressure is rising on U.S. defense firms to remain at the forefront of global defense technology. The U.S. defense industry needs to come up with advanced cyber, A.I., hypersonics, anti-satellite, hybrid warfare weapons, and more.
Anduril is one such A.I. product company that puts products ahead of the process and develops technology for defense, law enforcement, and border security applications. This article covers everything about Anduril, how it started, its mission, founders, funding, growth, and more.
Anduril – Company Highlights
Company Name
Anduril
Headquarters
Costa Mesa, California, United States
Sector
Defense Technology and Communication
Founders
Palmer Luckey, Brian Schimpf, Trae Stephens, Matt Grimm, and Joseph Chen
Anduril Industries, or Anduril, is a military technology company specializing in designing and developing hardware and software applications for monitoring risk and enhancing surveillance. The company’s offerings enable security awareness, inspection and Intelligence solutions, multi-domain launch capability, and surveys across land, air, and sea.
Having its presence in the United States, the United Kingdom, Atlanta, and Australia, Anduril serves the U.S. military, border security, navy, defense, and other commercial agencies and customers.
Palmer Luckey is the founder, and Brian Schimpf, Trae Stephens, Matt Grimm, and Joseph Chen are co-founders of Anduril.
Palmer Luckey
Palmer Luckey – Founder, Anduril
Palmer Luckey is an American entrepreneur best known as the Founder of Oculus V.R. and Anduril Industries. Moreover, he worked as the Designer of the Oculus Rift.
Brian Schimpf
Brian Schimpf – Co-founder and CEO, Anduril
Brian Schimpf graduated from Cornell University with B.Sc. in Operations Research. He has been the Cornell DARPA Urban Challenge Team developer and Director of Engineering at Palantir Technologies. Currently, he is the Co-founder and CEO of Anduril.
Trae Stephens
Trae Stephens – Co-founder and Executive Chairman, Anduril
Trae Stephens has completed B.S. in Regional and Comparative Studies from Georgetown University. Presently, he is the Co-founder of Sol, Pursuit, and Anduril. Moreover, he is Anduril’s Executive Chairman and Partner at Founder Fund.
Matt Grimm
Matt Grimm – Co-founder and COO, Anduril
Matt Grimm attended Cornell University and completed B.Sc in Mechanical and Aerospace Engineering and M.Eng in Systems Engineering. He has been the Forward Deployed Engineer at Palantir Technologies, Principal at Mithril Capital Management LLC, and Advisor & Board Observer at Classy.org.
At present, he is working as Anduril’s CO-founder and COO.
Joseph Chen
Joseph Chen – Co-founder, Anduril
Joseph Chen is Anduril’s Co-founder. He was the Product Lead at Oculus V.R. and worked on A.R. handset technology at Epson. Recently, he launched a V.R. content production studio named Here Be Dragons.
Anduril is a team of over 1,000 inventors, builders, makers, and problem solvers.
Anduril – Startup Story
In June 2017, Anduril, along with former Palantir Technologies executives Trae Stephens, Matt Grimm, Brian Schimpf, and early Oculus V.R. Hardware Lead Joseph (Joe) Chen, founded the autonomy-focused defense technology company named Anduril Industries.
Anduril began a pilot program for America’s government in March 2018. The program was about detecting human trafficking and drug smuggling on the southern border of America’s remote areas. 55 attempted entrants were caught in its first 12 days in operation. Later, the company won the Autonomous Surveillance Tower Program of Record, which resulted in the deployment of hundreds of Anduril security towers.
In September 2020, Anduril received a contract worth $967 million for the Advanced Battle Management Systems (ABMS) from the U.S. Air Force. Moreover, on May 4, 2022, Anduril and the Australian military entered into commercial negotiation for a $100 million, co-funded program to design, develop, and manufacture extra large autonomous undersea vehicles (XL-AUVs) for the Royal Australian Navy.
Anduril – Mission and Vision
Anduril’s mission is to transform defense capabilities with advanced technologies.
Anduril – Business Model
Anduril leverages A.I. and computer-vision operating systems for connecting intelligent devices and hardware assets. Its surveillance and defense systems find and track a human intruder over a wide area with little human input.
With Lattice governing all intruder-detection systems, they detect the motion, scan with a camera, and utilize computer-vision algorithms to determine whether the intruder is a vehicle, animal, or human. Moreover, Anduril provides high-powered ‘interceptor’ drones to detect and destroy drones.
Anduril – Products and Services
Anduril’s offerings include Sentry Towers, Drones (Ghost, ALTIUS, Anvil), Sensors (WISP, Dust), Menace, and Autonomous Underwater Vehicles (Drive-LD). Moreover, it provides access to Lattice- an open operating system for defense.
Anduril – Funding and Investors
Anduril has undertaken 6 funding rounds to raise a total amount of $2.2 billion. Its latest funding round – Series E Round, was conducted on December 2, 2022, and raised $1.5 billion. Some recent company investors are Valor Equity Partners, Founders Fund, Andreessen Horowitz, Lux Capital, Elad Gil, MVP Ventures, and Lightspeed Ventures.
Date
Round
Number of Investors
Money Raised
Lead Investor
December 2, 2022
Series E
17
$1.5 million
Valor Equity Partners
July 17, 2021
Series D
18
$450 million
–
July 1, 2020
Series C
8
$200 million
Andreessen Horowitz
September 11, 2019
Series B
9
–
Founders Fund, General Catalyst
June 11, 2018
Series A
5
$41 million
Founders Fund
August 11, 2017
Seed Round
4
–
Founders Fund
Anduril – Mergers and Acquisitions
Anduril acquired three defense startups- Dive Technologies in February 2022, Copious Imaging in September 2021, and Area-I in January 2021.
Anduril Welcomes Dive Technologies
Anduril – Patents and Trademarks
Anduril’s intellectual property comprises 29 registered patents with ‘Aircraft; Aviation; and Cosmonautics’ as the primary category. The company has 8 registered trademarks, with ‘Scientific and Technological Services’ being the most active class. Additionally, the company has achieved AS9100 certification.
Anduril – Growth
The estimated annual revenue of Anduril was $445.8 million per year ($435,354 per employee), with a $8.5 billion valuation in 2022. Moreover, its monthly web visits grew by -31.51%, with 77,704 visits. And employee count rose by 63%.
Palmer Luckey is the founder, and Brian Schimpf, Trae Stephens, Matt Grimm, and Joseph Chen are co-founders of Anduril.
What does Anduril do?
Anduril is an A.I. product company that puts products ahead of the process and develops technology for defense, law enforcement, and border security applications.
“AI will fundamentally change every software category, starting with the largest category of all – search,” – Satya Nadella, Chairman and CEO, Microsoft.
It is no secret that Microsoft’s Bing search engine has always been several steps behind Google’s Search Engine. Somehow it did not click with internet users. One might blame the Bing Search interface or how it brings up results, but you know that’s not it. I mean, Forbes tried to sum it up as, “Google was able to attract much better talent due to its reputation of being a more innovative and a more developer-friendly company, and because of its market position. Bing suffered from the anti-Microsoft sentiment among developers and was unable to attract a similar quality of talent.” Additionally, Google has been around for a longer time and has done incredibly well with its search algorithm.
However, the wind of change has finally taken a turn for the better- to an age of Artificial intelligence (AI) and more, particularly, Natural language Processing (NLP) and Machine Learning (ML). In an era when Elon Musk and Bill Gates (Co-founder, Microsoft) are significantly investing in ChatGPT, a conversational AI chatbot that is capable of producing long contextual paragraphs on any given topic (provided it is not about criticizing a certain messenger or Joe Biden or praising Donald Trump), whereas Google Inc. is experimenting with Bard.
Sharing his views on language and AI, Google CEO Sundar Pichai once said,
“Language is core to who we are as human beings. It’s how we understand the world, express ourselves, and communicate with others. And yet, only a fraction of the world’s languages have a digital presence today. This gap poses a threat to preserving cultural diversity, as well as to the development of AI.”
This bard is quite different than Celtic poets and composers, known for singing praises for old English kings in the old English era. This Bard is American, based on Google’s LaMDA (Language Model for Dialogue Applications), performs functions just as ChatGPT but relies on the Google Search engine to produce accurate results (it tries), and it is still learning.
Google’s Bard is “your creative and helpful collaborator, here to supercharge your imagination, boost your productivity, and bring your ideas to life.”
So, the obvious question is who wins when Microsoft and Google, two business giants have come to take your attention, your time, and probably your money (they say time is money, so let’s go with that)? How do you decide the winner in this modern clash of titans? What parameters should be taken into consideration?
The Clash of Titans: Bard vs. Bing chat
When I asked Bard that I wanted to compare these two services– Google’s Bard and Microsoft’s Bing Chat– what do you think it said?
Here is what it came up with:
“Bard is based on Google’s LaMDA language model, while Bing Chat is based on OpenAI’s GPT-4 language model. LaMDA is a newer model than GPT-4, and it is trained on a larger dataset of text and code. This means that Bard may be able to generate more creative and informative text than Bing Chat.
Bard also offers three different drafts of the same response, while Bing Chat only offers one. This gives you more control over the final response, and it can help you to get the information you need more quickly”.
Google’s Bard
Microsoft’s Bing Chat also performed well when I asked the same question:
Well, Google’s Bard replies like ChatGPT (which failed to respond, as seen above). It produces texts, answering your questions with the help of Google’s ‘larger dataset of text and code’– but Microsoft’s Bing Chat answered with the help of resources available on the internet, paragraphically, along with hyperlinks of the websites— it compiled the results from.
Who wins this Clash of Titans?
Well, neither Perseus nor Hades!
Google’s Bard is powered by LaMDA, a language model developed by Google AI, and as a language model, it is still learning. Though it is presumed to provide better results because it uses Google’s large dataset, Microsoft’s Bing Chat, powered by GPT-4, a language model developed by OpenAI, is no less. It has the unique style of producing answers with hyperlinks to web resources which is quite helpful in determining the integrity of the results.
It still does not answer the question!
So, I guess, for now, it depends on individual choices and needs. Microsoft or Google can’t force you to use their search engines (or Bard/Bing AI), and you are free to use any of these. Whether you’re a conservative or a (woke) liberal, a humanist or a feminist, a white cis-male or a trans-person of color— you are free to make your own choice.
The AI Assistant Battle! (2023)
But what about the future? Who wins this battle in the next few years?
Since both Google Inc. and Microsoft Inc. are investing heavily in AI research and development, and both companies will continue to make significant progress in the coming years, as one can presume, ultimately, the winner of the AI battle will depend on which company can develop the most powerful and user-friendly AI technology.
It would probably depend on the capital each company is willing to invest in AI research, its development, and the talent each company can attract to its AI team.
Both Bard and Bing Chat are performing well. Bard hasn’t been yet launched here in India; however, you can use Bing Chat.
FAQs
Which AI Chatbot is better, Google’s Bard or Microsoft’s Bing Chat?
For now, it depends on individual choices and needs, and you are free to use any of these. Both Bard and Bing Chat are performing well. Bard hasn’t been yet launched here in India; however, you can use Bing Chat.
How do Google’s Bard and Microsoft’s Bing Chat reply to a query?
Google’s Bard is powered by LaMDA, a language model developed by Google AI, and as a language model, it is still learning. Though it is presumed to provide better results because it uses Google’s large dataset, Microsoft’s Bing Chat, powered by GPT-4, a language model developed by OpenAI, is no less. It has the unique style of producing answers with hyperlinks to web resources which is quite helpful in determining the integrity of the results.
Did you know that before ChatGPT, there was an InstructGPT?
Even though it seems like ChatGPT is an overnight success with over 100 million users in January 2023 ever since its launch on November 30, 2022, by San Francisco–based OpenAI Inc.– but it is built on the hard work and research of decades. Just 5 days after it was launched, ChatGPT managed to cross 1M users— a record of its own.
ChatGPT is an extensive language model (LLM) designed to converse. It is capable of natural language processing and understands rhetorical questions and sarcasm. It is a generative AI and can learn from its response. The reasons behind chatGPT’s success are many. Firstly, it is incredibly easy to use. Anyone can type in a question or request, and ChatGPT will respond quite naturally and in an informative manner. It will seem like you are talking to a human. Secondly, it is incredibly versatile as it can be used for multiple tasks, including customer service, education, entertainment, and creative content writing, amongst many other things. And to top it all, it is constantly improving with each response.
ChatGPT is built on top of OpenAI’s GPT-3.5. And GPT-4 foundational large language models (LLMs) have been fine-tuned using supervised and reinforcement learning techniques. But before that, there was an InstructAI, created by OpenAI in response to the growing concern that large language models like GPT-3 that could be used to generate harmful or misleading content as it was not trained to follow user instructions. In short, InstructGPT was aligning language models to follow instructions rather than complete sentences by predicting the next words.
OpenAI says, “ChatGPT is a sibling model to InstructGPT.”
How ChatGPT Came To Be?
As I mentioned before, ChatGPT seems like an overnight hit, but years of research have gone behind its development. Innovators and engineers have been working on generative AI for decades. Though Generative AI has made significant progress over the past few years, researchers began exploring its potential in the 1980s and 1990s. One of the earliest breakthroughs came with the development of recurrent neural networks (RNNs) – a type of AI that can process sequential data such as text and speech. Backpropagation— a pivotal technique for training RNNs— was introduced in a 1986 paper by Geoffrey Hinton and Terrence Sejnowski. By the 1990s, scientists had developed RNNs capable of generating text. In 1991, a method for training RNNs to generate text similar to human-written text was introduced by Yoshua Bengio and Yann LeCun. This was a breakthrough, as it demonstrated that machines could be taught to generate text identical to that which humans produce, and thus began more research and more hard work in the field of generative AI.
In the 2000s, scientists developed transformers, a new type of RNN that is particularly well-suited for natural language processing tasks. The Transformer architecture was first introduced in the paper “Attention Is All You Need” by (Ashish) Vaswani et al. (2017), and later, Ilya Sutskever developed (at Google Brain) the attention mechanism that is used in Transformers. Oriol Vinyals worked on the implementation of Transformers.
Fun Fact: In 2015, Ilya Sutskever joined OpenAI as a research scientist and was promoted to research director in 2016 and became the chief scientist in 2018.
Later, it was Quoc V. Le, who led the team that developed Transformers at Google AI, and the Transformer architecture is now used widely for natural language processing tasks. It has achieved state-of-the-art results on multiple tasks, including machine translation, text summarization, and question-answering.
Recent years have seen the development of increasingly sophisticated models, such as OpenAI’s GPT-2 (2019) and GPT-3 (2020), capable of generating text nearly indistinguishable from that written by humans. OpenAI Inc. trained GPT-2 on a massive dataset of texts and codes of approximately 40GB in size and 1.5 billion parameters. The dataset used to train GPT-3 was even bigger— approx. 570GB of text and 175B parameters. So, this is what powers ChatGPT— decades of hard work and research by a host of scientists and engineers passionate about artificial intelligence.
Some Interesting ChatGPT Statistics and Facts Are As Follows:
The large language model powering ChatGPT, GPT-3 (GPT is short for Generative Pre-trained Transformer), was not trained to get instructions from users.
Before ChatGPT, OpenAI developed InstructGPT.
ChatGPT was trained on a dataset of the size of approx., 570GB.
ChatGPT was launched on November 30, 2022, by San Francisco–based OpenAI, the creator of DALL·E 2 and Whisper AI.
The platform was initially free to the public, and the company had plans to monetize the service later.
ChatGPT doesn’t provide any source about its responses unless specifically prompted.
In January 2023, ChatGPT reached over 100 million users, making it the fastest-growing consumer application to date.
The service works best in English but can also function in other languages like Spanish, French, German, Italian, and Portuguese to varying degrees of accuracy.
No official peer-reviewed technical paper on ChatGPT was published.
The training process for ChatGPT took several months and involved hundreds of GPUs.
The API access to ChatGPT is available in free and paid versions, but the cost of API access ranges from $0.000048 to $0.00072 per token.
It can answer questions with an accuracy of 66% on the SuperGLUE benchmark.
OpenAI says that Chatbot can give wrong answers too.
The maximum ChatGPT users are from the age group of 25-34 years which accounts for roughly 35.3% of total users.
Its responses are limited to 2021 as per its dataset.
The popular website for developers ‘Stack Overflow’ has banned this AI on its platform.
After the United States (19.01%), India (5.42) accounts for the second largest traffic source on the website.
According to SimilarWeb, organic traffic accounts for 88.43% of the traffic on the ChatGPT website. This means that 88.43% of the people who visit the website do so by typing the URL into their browser or clicking on a link in a search engine result. The remaining 11.57% of the traffic comes from other sources, such as social media, direct links, and email.
Netflix took 3.5 years, Facebook took 10 months, Instagram took 2.5 months, whereas ChatGPT took just five days to cross 1 million users.
On February 1, 2023, OpenAI also launched ChatGPT Plus, a more efficient version of ChatGPT, which people can use by purchasing a 20 USD subscription plan. OpenAI hopes to generate 200m USD in revenue by 2023 from this Platform.
ChatGPT: Inside the latest version with OpenAI CEO Sam Altman
ChatGPT’s success is a testament to the power of AI. AI is capable of developing tools that can be beneficial to humans. As AI evolves, we will likely see even more powerful and innovative tools like ChatGPT and ChatGPT Plus. Google might launch Bard AI for all users in May with their annual Google I/O meet. Microsoft has already integrated a sophisticated version of AI, based on the GPT-4 model, in its Bing search engine, and look how much more efficient it has become since then. Wonder what Google can achieve by integrating Bard AI in Google Search!
FAQs
What is Google’s Bard?
Bard is an artificial intelligence chatbot developed by Google, based on the LaMDA (Language Model for Dialogue Applications).
On what techniques is ChatGPT built?
ChatGPT is built on top of OpenAI’s GPT-3.5. And GPT-4 foundational large language models (LLMs) have been fine-tuned using supervised and reinforcement learning techniques.
Do you know that GPT in ChatGPT is an acronym for Generated Pre-trained Transfer? Do you know that there is a difference between GPT and ChatGPT?
“GPT-4 is OpenAI’s most advanced system, producing safer and more useful responses”. That’s what it says when you visit the OpenAI website. Most advance, safer and useful responses, emphasize word response here.
On March 27, 2023, OpenAI published its technical report on GPT-4 which is a “large-scale, multimodal model” which can accept images and text as inputs and can create text outputs. Not to be confused with ChatGPT, which is a conversation (chat) bot model, designed specifically for conversational interactions with people. ChatGPT uses natural language processing techniques to comprehend the user’s intent and generate fitting responses. It has separate data set for training and includes a dialogue management system to come up with appropriate responses in a conversation. You can also refer to previous responses in a conversation and it does well to remember that.
The GPT-4, an improvement over the previous GPT 3.5, was initially released on March 15, 2023, and has sparked quite a debate. It aims to improve the capabilities of GPT 3.5 in understanding and generating natural language texts, particularly in more complex scenarios like image interpretation and even solving logical tests designed for humans. And frankly, it is doing pretty well, outsmarting, outscoring many human test takers.
The easiest access to GPT-4 is Microsoft’s Bing chat. Microsoft and OpenAI have a significant partnership. In 2019, Microsoft Inc. announced a $1 billion partnership with OpenAI to develop advanced AI technologies. And now it has come to light that Microsoft’s search engine Bing uses GPT-4 for its AI chatbot Bing Chat to break Google’s hegemony in web search (engine).
AI-Powered Microsoft Bing and Edge
So, Bing is the easiest way to access GPT-4. Another way to use GPT-4 is by paying $20 for ChatGPT plus a subscription where you can explore the full range of GPT-4 capabilities. Although, a feature like visual input is currently not available on Bing and there is no clarification on which other capabilities are integrated with Bing as of now.
GPT- 4 and Why Are We Talking About It?
GPT-4 is a large language model or conversational AI developed by OpenAI. It is the fourth generation of the GPT language model series, and it is presumed to be significantly more powerful than its predecessor GPT-3.5. It is trained on a massive dataset of text and code, and it can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way including responding to visual inputs. It’s capable of interpreting logical inputs and producing responses similar to human beings.
What is GPT4 and How You Can Use OpenAI GPT 4
Generative AI has got us talking about it and there are several reasons for that but primarily because it is a very critical breakthrough in artificial intelligence. It is the first language model that can generate human-quality text, and it has the potential to revolutionize many industries. It can complement people in their work, mainly people that are involved in journalism, content writing and data analytics, and more. GPT-4 could be used to create more realistic chatbots (like Bing Chat, and ChatGPT), generate more engaging marketing content, and write more creative and informative articles.
What’s New With GPT-4?
GPT-4 is an upgraded version of GPT-3.5. While there are many similarities between GPT-4 and its predecessor, GPT-4 is an upgrade in terms of its use, accuracy, response size (word limit), interpretational skills, and inputs.
How GPT-4 is more reasonable than ChatGPT
GPT-4 has a larger and more diverse dataset to train. It is trained on a dataset of text and code that is 100 times larger than the dataset used to train GPT-3 which allows GPT-4 to learn more about the world and to produce more accurate and creative text. It also uses a new architecture that is significantly more powerful than the architecture used in GPT-3, so it can process more information and generate more complex text. It is capable of producing textual responses around 8 times larger than its predecessor. Its training process is also very efficient.
OpenAI says that the new version of GPT is more advanced in three key areas that are creativity, visual input, and longer context. If you enter an image of balloons tied to a thread and ask what will happen when you cut the thread, it can tell you that the balloons will fly away. It can also take in and produce a 25000-word response compared to ChatGPT’s 3000-word limit.
It is also more prepared and provides safeguards when it comes to ‘adversarial usage’, ‘unwanted content’, and ‘privacy concerns.’ Well, that’s what it says on its website.
Educational Benefits
Apart from writing essays, articles, and the usual, what I’m more interested in is the educational benefits of GPT-4. It is like a teacher with 360-degree training in all the subjects a school-going student would hope for. History, Science, Maths, Sociology, French, Computer Science, Philosophy, you name it and it will produce responses to your questions in a humanized manner.
Imagine what a fifth grader, who doesn’t get enough time at school to ask questions related to maths or is shy to ask them upfront, can learn when equipped with GPT-4 that can help him/her with mathematical equations, graphs, and complex algebra and geometry questions. Students in USA or India, trying to learn foreign languages like French, Spanish, German, etc, can also benefit from GPT-4 immensely.
Many educational platforms like Duolingo and Knewton are using integrated GPT-4 AI models to understand user input and produce appropriate responses, which is quite advantageous if you ask me.
How GPT- 4 Is Different From Google’s LaMDA?
Developed by Google Inc., LaMDA, short for, Language Model for Dialogue Applications, is a language model just as GPT-4 but it has been developed and trained on a massive dataset of code and text and dialogue backed by Google’s search engine. It can produce different creative texts, like poems, code, scripts, musical pieces, emails, letters, etc.
Google LaMDA and GPT-4
Conclusion
GPT-4 is trained on a dataset based on text and code and it can produce complex text, create different kinds of creative content and but LaMDA is trained on a dataset based on dialogue and understands natural human language better. it can create more engaging conversations like ChatGPT. Google’s chatbot named Bard is based on LaMDA and poised to produce better responses than ChatGPT but there’s still time to determine how this AI race will play out in the long run.
FAQs
What is GPT-4 and how is it different from the previous versions?
GPT-4 is OpenAI’s most advanced, large-scale, multimodal model that can accept images and text as inputs and create text outputs.
How can GPT-4 be accessed?
The easiest access to GPT-4 is Microsoft’s Bing chat. Microsoft and OpenAI have a significant partnership. In 2019, Microsoft Inc. announced a $1 billion partnership with OpenAI to develop advanced AI technologies. Microsoft’s search engine Bing uses GPT-4 for its AI chatbot Bing Chat.
“Cyber Security is much more than the matter of IT” – Stephane Nappo
With the increased internet usage, a large amount of personal and professional information and data is available online which is continuously under the threat of exposure. In the USA alone over 53 million individuals were affected due to data compromise in the first half of 2022.
Source: Statista.com
This threat has grown several folds with cyber crimes becoming incredibly sophisticated and the entire world shifting online, especially since 2020 amid the uncertainty and disruption of the global pandemic. As per a survey conducted by Statista, the average cost of data breaches worldwide from March 2020 to March 2022, combined in different sectors, is more than 150 million US dollars.
Under these circumstances, cyber threat intelligence becomes an extremely valuable tool to protect, detect and respond to any cyber threat your data might be exposed to.
In this blog, we will discuss in detail cyber threat intelligence and tools that can help you in protecting your data.
What is Cyber Threat Intelligence? Cyber threat intelligence is the collection, processing, and analysis of data to discern the motive and behavior of a potential cyber attack and to help us make informed decisions and implement proactive security procedures. The cyber threat intelligence tools are designed to help us with the process.
Threat intelligence is a cyclic, continuous process that is typically completed in 6 steps:
Set goals and plan the direction
Collection of data
Processing of data
Analysis of data
Dissemination of data
Report findings
There are four types of cyber threat intelligence viz. strategic, tactical, technical, and organizational. Each one of these is meant for different users and describes the threat and its details in various depths as per the knowledge and requirement of the concerned user.
Cyber Threat Intelligence Explained
What Are Cyber Threat Intelligence Tools?
Attackers today have learned and developed thousands of ways to breach data and wreak havoc. Also, with advanced technology and software involved, threats have grown more complex and crimes more sophisticated. Therefore, effective and timely detection of threats and strongly powerful retaliation are extremely important for protecting your data.
Cyber threat intelligence tools are developed and designed to counter these issues. They provide up-to-date information about the latest threats such as malware, exploits, etc. These tools also provide information about the tactic, technology, and procedure (TTP) involved in a particular threat and suggest the best methods for protection against it. Further, these tools are capable of analyzing any potential or specific threat detected on a particular network.
These tools are capable of managing the risk as well as enhancing your cyber security through artificial intelligence or machine learning. They give an organization the ability to plan preventive measures, detect threats, and resolve security issues.
Key Features Your Cyber Threat Intelligence Tool Must Have
As per a survey by Statista, the most useful type of cyber intelligence tool, as per the users, is the one that provides detailed information about the malware being used in the attack.
Source: Statista.com
Although the basic function of most cyber threat intelligence tools remains the same, there are certain key features that you must look for while choosing your CTI.
Flexibility
Any cyber threat intelligence tool that you choose must fit in with your already existing security mechanisms including Firewalls and SIEM (Security Information and Event Management).
A threat intelligence tool processes data from various sources and provides risk scores. Therefore, it cannot act as a standalone tool. Combining it with other security systems enables prioritization, and proactive alerting, as well as adds circumstantial data for alerts that ease the investigation.
Moreover, this flexibility of function would also let the tool collect accurate data from the dark web and other sources.
Comprehensible
Asingle-window dashboard simplifies the entire process of threat detection and remediation. Being comprehensive the tool collects information from every possible source and displays it together which also accelerates the decision-making process.
Multiple Source Information
To exactly analyze an organization’s position in terms of cyber security the tool must be able to extract information from as many sources as possible. Through this real-time indicators can be discovered that can help in forming accurate correlations.
Alert Quality
Several security alerts are often ignored owing to a large number of false positives. This causes alert fatigue amongst the security team who are unable to decipher the actual high-priority issues.
A good threat intelligence tool should be able to prioritize and categorize the actual security alerts, which is only possible when it can correlate the data in the alert with the already available database. This would ensure that the important notifications do receive a response from the security team.
Proactive Intelligence
To manage and control security issues a cyber threat intelligence tool must be proactive. This means that the tool should be able to identify the threat and vulnerabilities before the commencement of the actual attack.
A tool integrated with automated response processes helps in early detection and effective response to the threat.
Top 7 Cyber Threat Intelligence Tools
The right threat intelligence tool would help point out the potential issues and nip the problem in the bud. Based on the requirements of users as well as the opinions of the experts we have made a list of the top 7 cyber threat intelligence tools that will secure your system from cyber threats.
As per Statista, Fortinet led the global threat intelligence software industry in 2022 with almost 39% of the total market share.
Experts label Fortinet’s FortiRecon as one of the best cyber threat intelligence tools. It is a Digital Risk Protection Service product. Other than its outside-the-network view of the risk, it can also mitigate three additional risk areas viz. Digital assets risk, brand-related risks, and underground & imminent threats. It uses automation, machine learning as well as human intelligence to analyze the brand risk for an organization and deliver proactive custom intel.
Key Features:
External Attack Surface Management
Adversary Central Intelligence
Extensive asset and exposure discovery
Comprehensive reporting
Pros:
Easy to use
Contextualized threat insights
Early-stage lifecycle protection
Far-reaching threat sources
Comprehensive report
Cons:
Not suitable for any non-MS domain device
Logging services do not include many details
Pricing:
Contact the vendor to get the quotes for Fortinet’s Fortirecon threat intelligence license.
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Yes
Used For
Providing coverage against adversaries, infrastructure, and targets
Recorded Future – Cyber Threat Intelligence Tool
It is headquartered in Boston cyber security platform. Recorded Future is widely recognized for its predictive or proactive cyber threat intelligence. It gives you real-time visibility into the vast digital ecosystem and automates the entire process of collection, analysis, and reporting. It provides coverage against adversaries, infrastructure, and targets.
Key Features:
Manages risk landscape through a single-platform approach
Advance filters to narrow down your search
Powerful integration ability connects with both SIEM and SOAR providers
Graphical representation of worldwide threat data
Pros:
A wide variety of threat intelligence is covered
Direct source evidence for effective decision making
Easy navigation owing to modular design
10+ years of reference data updated regularly
Cons:
Overwhelming search results
Comparatively expensive, starts at USD 10,000 for AWS
Pricing:
Contact Recorded Future to obtain the current pricing of the license.
Cisco Security Malware Analytics
Website
Cisco.com
Rating
4.4
Demo Provided
No
Used For
Providing contextual analytics for malware and threats
Earlier recognized by the name threat grid, it is a cloud-based unified security solution. It generates alerts for malware activities and helps analyze the threat levels to draw strategies for tackling them. It provides end-to-end visibility and protection by leveraging threat intelligence.
Key Features:
Contextual analytics for malware and threats
Huge malware knowledge base
Uses behavioral indicators to predict and prioritize attacks
Automation and integration abilities through APIs
Pros:
Easy integration without reprogramming
Cross-product security data from Cisco and third-party sources
Thorough analysis and comprehensive reporting of threat
Automated sample upload through API integration
Cons:
Frequent delays in the alert mechanism
Strenuous on-premise appliance setup
Pricing:
Contact the vendor to get the quotes for Cisco Security Malware Analytics license.
Echosec
Website
Flashpoint.io/platform/echosec
Rating
4.9
Demo Provided
10 days free trial
Used For
Social media and open source intelligence (OSINT) gathering.
Echosec – Cyber Threat Intelligence Tool
It is a Canada-based company that specializes in Open Source Intelligence Tools (OSINT). Its flagship platform leverages data from social media, the dark web, as well as open community platforms. It collects real-time risk information and allows you to perform ad hoc dark web searches alongside internal threat monitoring.
Key Features:
Pre-built data search filters with 24X7 monitoring.
An externally focused tool that connects with global security feeds, illicit forums, etc.
Directly feeds information to the co-security tools
Collects data from 18 social media platforms, news portals, and blogs
Pros:
Simple and easy-to-use investigative tool
Makes investigation easy and provides actionable results quickly
Extraordinarily intuitive GUI
Cons:
For any OSINT newbie, the learning curve can be steep
Occasional random results require human verification
Pricing:
Pricing information for Echosec is supplied by the software provider. Final cost negotiations to purchase Echosec must be conducted with the seller.
IntSights External Threat Protection(ETP) Suite
Website
Intsights.com
Rating
3.5
Demo Provided
Yes
Used For
Monitoring phishing attacks, malicious domains, and data breaches
It is a 360-degree tool for cyber security that provides rich, real-time, actionable insights within 24 hours. It delivers enterprise-grade external, contextualized, and prioritized threat intelligence. It can be used either as separate modules for external intelligence, risk analysis, and threat investigation or as an end-to-end cyber threat intelligence tool.
Key Features:
It collects data from the dark web, provides external threat feeds, and conducts custom research.
Well-built analytical report and automatic risk mitigation
Critical vulnerability patching
Comes with use-case-specific solutions or APIs for extensible integration capability.
Pros:
Supports all major languages including Japanese, Portuguese, German, French, and others.
Focuses on external channels such as social media, black markets, etc.
Extremely flexible, adaptable, and comprehensive tool
Cons:
Weak alerting mechanism
Steep learning curve
Pricing:
Pricing information for IntSights External Threat Protection is supplied by the software provider. Final cost negotiations to purchase IntSights External Threat Protection must be conducted with the seller.
ThreatConnect
Website
Threatconnect.com
Rating
4.5
Demo Provided
Yes
Used For
Dealing in threat intelligence, risk quantification, and intelligence-powered security operations
ThreatConnect – Cyber Threat Intelligence Tool
It is a Romania-based company that deals in threat intelligence, risk quantification, and intelligence-powered security operations. It strengthens security and defense by breaking down complex data into actionable information. The information and data collected can be analyzed manually or with automation assistance.
Key Features:
Uses Playbooks which are an intelligence-driven orchestration feature
Intuitive dashboard with prioritized risks on the face of it
Show threat prevalence through crowdsourcing analytics
Pros:
A powerful data model that establishes links between incidents, threats, and IOCs.
Proactive detection through the combination of orchestration and automation.
Updated information on the latest cyber threats and malware
Intro to ThreatConnect
Cons:
One of the most expensive threat intelligence tools
Not flexible enough to suit user requirements
Pricing:
Pricing information for ThreatConnect is supplied by the software provider. Final cost negotiations to purchase ThreatConnect must be conducted with the seller.
ZeroFOX
Website
Zerofox.com
Rating
4.3
DemoProvided
Yes
Used For
Monitoring the web for data leakage and ransomware
Zerofox – Cyber Threat Intelligence Tool
It is a US-based company that provides cyber intelligence solutions. It safeguards an organization against online threats such as phishing, data leakage, impersonation, and others. It monitors the web for data leakage and ransomware and brings relevant data to the attention of the user.
Key Features:
It is equipped with the latest AI, ML, and OCR technologies
Combines artificial intelligence with human intelligence to review and prioritize threats
Solely designed for external threat protection
Visual indicators on the dashboard offer absolute visibility
Pros:
Hacker elimination through adversary disruption and takedown as a service
Huge integration library covering all popular IT tools
Streamlined workflow with a straightforward setup process
Cons:
Overwhelming subdomain alerts
Generates a large number of false positives
Pricing:
Contact ZeroFOX to know about the price of the license.
Conclusion
Cyber threat intelligence tools play a crucial role in the growth of any business by protecting it from the commonest and biggest of threats. They identify, predict, alert, and manage cyber attacks. Also, with the number of cyber-attacks rising every year to a great degree and the world shifting online there is no alternative to these tools. However, with a large number of options available in the market, making a final choice can be hard.
In this article, we shared with you the 7 best cyber threat intelligence tools to make your search convenient. Hope we could help.
FAQs
What is Cyber Threat Intelligence?
Cyber Threat Intelligence is the process of gathering and analyzing information about cyber threats to protect an organization’s digital assets and infrastructure. It provides actionable intelligence to support cyber security strategies and enhance the ability to prevent, detect, and respond to cyber-attacks.
What are the 3 types of cyber threats?
Malware
Phishing
DDoS (Distributed Denial of Service) Attacks
What are the benefits of Crime Threat Intelligence tools?
The benefits of using Cyber Threat Intelligence (CTI) tools are:
Improved threat awareness and detection
Enhanced incident response
Increased efficiency and cost savings
Compliance with regulatory requirements
What is the most common cyber threat?
The most common type of cyber threat is malware, including viruses, trojans, and ransomware.
In this digital era of technology, AI is emerging as a way to make work easier and faster. Companies are adopting AI to build software with advanced capabilities. Text-to-image is a feature of software powered by AI to convert natural language inputs into visually appealing images.
An image is a great way to express something in a way that positively hits the viewer’s mind. You might be amazed to know the fact that the Human mind can process images almost 60,000 times faster than normal text. This is one of the reasons why companies prefer images over text for advertisements and marketing campaigns on social media.
Thanks to AI, we have opportunities to create visually appealing images from text input. In simple words, you can use a text-to-image generator to create images. So for the sake of your convenience, we have provided the list of the best text-to-image generators along with their salient features, pros, cons, and pricing.
Text-to-image generator is a software that generates images based on the input you provide. For example, If you want an image of a red car flying in the air, you can easily create that image just by typing this input into the search field.
Global AI market size from 2022 to 2026
A deep learning algorithm and technology like generative adversarial networks (GANs) work behind the scenes for the processing of each input. The GAN consists of a generator and discriminator, whenever you pass any input to the software, the generator synthesizes an image based on the query and sends it to the discriminator. The discriminator distinguishes the image and sends it to the generator for modification. The process goes on again and again until it creates a perfect image for you. The technology keeps updating with time and this text-to-image generator is becoming more powerful day by day with different updates.
List of Top 10 Text-to-Image Generators
Text-to-image generators allow usto generate images based on a text description. Text generation models can be used together with text-to-image models to create diverse text prompts. It helps to shape our imaginations and create beautiful images. Let us discuss some of the best AI-based Text-To-Image Generators.
Photosonic
Rating
3.4/5
Launched in
2020
Photosonic is an AI tool of the very popular AI-based content creation company Writesonic. It started its operation in October 2020, this company has raised more than 2.6 million in funding. Since Writesonic was already engaged in the development of AI to make content production easier for companies, Photosonic is a great addition to their list.
Photosonic
This tool has the capability to convert your imagination into digital art that you can use in your project. Varieties of options are available to give your art a texture, like painting, illustrator, 3-D, cartoon, fantasy, anime, etc. Whatever prompts you, type it in the search field, and it will provide you with the best results as per your requirement.
Square, vertical, and horizontal are the orientation of the image which you can choose to create the perfect fit for your image. It offers a free plan in which you will get 15 credits that you can utilize to generate images.
Pros:
Availability of free plan
Full right to use images commercially
Based on the latent diffusion model
Simple to use
Cons:
Images are sometimes blurry and distorted
Less credit in the free plan
Pricing:
Free: $0 /month (15 credits)
Basic: $10 /month
Unlimited: $30 /month
Jasper.ai Art
Rating
4.5/5
Launched in
2021
Jasper Art is an incredible tool to generate images using text prompts. The AI of this tool is well-trained and capable of identifying the difference between a sad dog and a happy dog. You can apply different styles, moods, and mediums to your imagination by selecting the appropriate option from the dropdown menu, which again enhances the quality of your images significantly.
Jasper.ai Art
The most interesting part of this tool is “No credit”, yes you’ve heard right, while other text-to-image generators use credit systems to generate images, this tool provides unlimited image generation facility with their plan ” Jasper Art Unlimited”. Although you are not provided with any separate free plan to test this tool, you get 5 days of free access to the tool in the paid plan at no additional cost.
The amazing part is that you can create up to 200 images in the 5-day free access with 2k resolution, and after that unlimited images with a paid plan. There is a separate knowledge base provided by the company to help you use their tool more effectively. This simple and powerful AI tool will skyrocket your productivity through realistic images of your imagination.
Pros:
2K high-resolution images
Very Simple to use interface
No credit limit
Variety of styles, moods, mediums, and keywords to choose from
Dall-E is a new AI system that can create realistic images from the description of natural language. It’s a very popular text-to-image generator created by Open.ai and has a separate craze in the market. No doubt! Creating images from text is an integral feature of this tool but on top of that, it can also edit the existing image according to your need so that looks damn real.
Dall-E
Launched in January 2021, Dall-E gathered so much popularity among the people, and soon after one year of launch, Open.ai released the updated version of Dall-E with the name Dall-E 2. Dall-E 2 is more efficient and capable than the previous version which can create images with 4X greater resolution.
Also, you can create different variations of the generated image and make them more unique. Keep in mind that every time you create an image, it will cost you one credit, and every time you try different variations, it will charge an additional credit. Overall, Dall-E is a great tool to consider for generating images from a text prompt.
Pros:
Availability of free 50 credits without a time limit
The image creation process is relatively fast
Image variations
Editor to edit the generated image
Filters violating, hateful, and sexual prompt
Cons:
Low art quality for some prompt
Don’t have the option to choose an art style
Pricing:
Free: 50 credits on first-time signup and 15 credit every month
Paid: 115 credits for $15 on top of the free credits
Fotor
Rating
4.4/5
Launched in
2009
The Fotor AI image generator is the most powerful yet underrated AI image generator that holds amazing capabilities to create high-resolution images from a text prompt. The most interesting part is that it is completely free to use, and you can create unlimited high-quality images. The more Description you provide in the search box, the more accurate result you’ll get.
Fotor
Once you’ve generated your image, you can play with different styles and apply them to the newly generated image to get the desired result. It supports the length and width of images between 512 Px to 2048 Px. You can also select the orientation of the image from the square, landscape, or vertical.
Whenever you refresh the image, it will generate a different image from the same text prompt and whenever you choose from a different style it will refresh the image and apply the style in no time.
Midjourney is a text-to-image generator that is developed by an independent research lab. It is a self-funded initiative of some people to harmonize design with AI. To access this tool and create realistic high-quality images, you need an account on discord, because Midjourney is only accessible as a bot on the discord app.
Midjourney
Images generated by this tool are of high resolution and come with different variations. To generate an image, you need to first go to the Midjourney website and click on the button “Join the beta”, after that you’ll get a ship-like icon on your discord app. Just click on the icon and join any newbie room to start generating images. Use the command prompt and type your text description of whatever you want to create.
Midjourney creates four variations of each image and you can try different variations to get the appropriate result. Also, keep in mind that it doesn’t work on a credit system, it works on a minute session system. This means, whenever you type a prompt in the command field it takes some time to render the image, that time is deducted from your plan.
The process of generating an image takes GPU resources, hence it provides two options in their pricing plan, Fast GPU time and Relaxed GPU time. The simple difference between these two is, the Fast GPU time generates the image in priority and is faster than the relaxed GPU time.
Pros:
High-resolution images
Different variations
Personal bot chat
Reasonable pricing
Community gallery access
Cons:
Complex to use
Available only through discord
Private visibility feature at an additional cost of $20/month
Pricing:
Free: 25 min/Lifetime
Basic: $10/month and 200 min/month
Standard: $30/month and 15 hrs/month
Corporate: $600/month and 120 hrs/month
Nightcafe
Rating
5/5
Launched in
2019
Turn your imagination into reality by leveraging the benefits of Nightcafe, an AI-based tool. Headquartered in Cairn, Australia, it generated more than 35 million artworks till October 2022. Since it also generates images from the text prompt, there are some features that distinguish it from the rest. Let’s have a closer look at its unique features.
Nightcafe
Nightcafe offers different algorithms that work on the backend to create beautiful images like Stable diffusion, CLIP+Guided diffusion also known as coherent, VQGAN+CLIP also known as Artistic, and OpenAi Dall-e 2 algorithm. You can choose any of the following algorithms and also choose varieties of styles to create your masterpiece.
Apart from creating images from text, you can also make appropriate changes to the existing image. After uploading the image, you are required to enter the text description with the changes you want in your image. One drawback of Nightcafe is that you need to pay extra credits for higher-resolution images.
Pros:
Different algorithms to choose from
Varieties of styles
Advanced option
Your creation belongs to you
Cons:
Charge extra credits for high-resolution image
Only 5 credits available to try this tool
Pricing:
AI Hobbyist: $9.99 /month
AI Enthusiast: $19.99 /month
AI Artist: $49.99 /month
AI Professional: $79.99 /month
Canva
Rating
4.7/5
Launched in
2012
Canva is not a new name for designers and anyone who loves to design. Since Canva offers varieties of designing services and is the leader in this segment, then how can it lag behind in the race of text-to-image generation? Recently Canva has launched its text-to-image generation AI to empower designers to create unique pieces of images.
Canva
Because it is also evolving its technology like other AI tools, you might have to face some distortion in the image. One major plus point of the Canva text-to-image generating tool is that it is completely free to use, with no credit limit. You can directly use the generated image in the project you are working on.
Different styles like photo, drawing, 3-D, painting, pattern and concept art are available to give an image a different look and feel. After typing the text prompt and selecting the desired style, you only need to hit the generate button and boom! Your unique image is ready to use.
AI-based photo-realistic images are the trend nowadays and Stable Diffusion is fueling this ongoing trend with its robust text-to-image generator. The most fascinating thing is that it doesn’t charge a single penny from you for the generation of images. It generates images on Nvidia and AMD GPUs of more than 6GB RAM to provide high-quality images in a short period.
Stable Diffusion
To increase efficiency and help you generate more accurate images, it provides a prompt database of more than 9 million searches. You can utilize this database and learn how to enter the text prompt effectively to generate high-quality intended images with less distortion.
The most important thing is that it takes care of your privacy seriously, it never stores any of your personal information, text prompts, or images. Even if you want to share your design, there is a separate button for it to share with the community, otherwise, it will remain private for you.
Since it is open source, you can install it locally on your computer and start creating AI images at no cost. Their AI community will help you with all the setup. Make sure you have an Nvidia GPU with more than 6 GB of ram for quick image generation.
Pros:
Easy-to-use interface
Doesn’t store any data about text and images
A huge database of text prompts
Advanced setting option
High-quality images
Free to use
Can install it locally
Cons:
Doesn’t have an option for styling and variations
Pricing:
Free of cost
Dreamstudio
Rating
4.5/5
Launched in
2006
Dreamstudio beta is an image generation AI powered by stability.ai. Don’t be confused between Dreamstudio beta and Stable Diffusion because both are powered by stability.ai, the only difference is that Stable Diffusion is open source and Dreamstudio is paid one. Dreamstudio provides free 100 credits to test the product and if you like to continue then you can purchase additional credits.
Dreamstudio
There is flexibility to utilize the credits based on the size and resolution of the image and it costs somewhere between 0.5 credits to 9.5 credits per image. The higher the resolution, the higher credit it will charge. It is empowered to create realistic images, art, portraits, paintings, and as many things as you can imagine and write in the text prompt properly.
Numerous options are available to choose from and get the desired result that best suits your imagination. Additionally, you have the flexibility to choose the different versions of the Stable Diffusion algorithm.
Pros:
Cheaper than competitor
Simple to use UI
Vast styling option
Ability to choose from different stable diffusion versions
High-resolution images
Cons:
Need to pay high credit for high-resolution images
Pricing:
100 free credits
StarryAI
Rating
4.4/5
Launched in
2021
StarryAI is another AI art generation tool that is also available in the form of iOS and Android mobile apps. To turn your imagination into reality and make images from natural language descriptions, this tool provides 5 free credits every day. It means you can leverage the benefit of AI image generation every day at no cost if you don’t want so many images.
Starryai
Just like other text-to-image generation tools, it also offers varieties of styles to choose from, and on top of that, you can create your own collection of art images. There is an explore tab in which you can see the images of other creators who’ve published their art in the community, you can take inspiration and make your own.
The most fascinating thing is that you can earn credits for image and video creation after completing certain tasks, like sharing the artwork on social media, watching ads, etc.
Pros:
Easy to use
Different styles
Availability of iOS and Android app
Cheaper alternative
Credits Top-up everyday
Cons:
So many distortions
Creation is not always perfect
Pricing:
5 free credits every day
Conclusion
AI has made text-to-image generation easier and faster without any prior experience in designing. These tools will empower you to turn your imagination into realistic images with so many styling options. So choose the tool and figure out the best one that suits your needs.
FAQ
How do AI image generators work?
The technology can vary but most AI image generators use diffusion models. These work by destroying their training data through the addition of Gaussian noise, and then reversing the process to remove noise from the image.
Is DALL-E free to use?
Dall-E is not entirely free. The service runs on “credits”.You get 50 free credits at signup, and then 15 credits free per month after that.
What is the AI image generator?
The AI image generator is a tool that can be used to generate realistic images from text.
AI is no longer a future concept, it is happening now. Technology has evolved a lot and is still growing rapidly. AI has fueled growth by making tasks easier and faster. Dall-E and MidJourney, both are AI-based text-to-image generators that hold the capability to generate mind-blowing digital images just by taking input from you.
Isn’t it fascinating that you’re just typing something and AI is providing you with the desired images? Actually, it’s really cool stuff to explore and learn.
Both Dall-E and MidJourney do the same thing which is to generate images from the user query, but certain factors differentiate these two. Here in this article, we will compare Dall-E and MidJourney, so read the whole article and update your knowledge with the latest technology.
AI Image Generators have become the next big thing on the internet. As both are best-known and arguably the most advanced image generators, both of them have the potential to provide you with great results.
Let us look into the different aspects such as their development, pricing, art quality and others. of MidJourney and DALL-E to compare and decide which one is the best among these two.
Development Journey
Dall-E is an AI system developed by OpenAI, a research laboratory headquartered in san-Fransisco. OpenAI was started by Sam Altman and others in late 2015 to develop AI-based solutions that solve different tasks and make human life much easier. Dall-E is one of the AI solutions by OpenAI that renders services for image creation.
It is a large language model that was trained on a dataset of text and images, which can generate images from text descriptions, a process known as image generation or image synthesis. It is a 12-billion-parameter version that uses text-image data sets to generate an image from text.
On the other hand, MidJourney is also an AI-based solution developed by an independent research lab that renders the same services as Dall-E does. Since the intention behind the development of AI is the same, which is to train the AI and make them capable of solving complex real-life problems with ease.
MidJourney has emerged as a solution that creates realistic images of any input you provide. It is in the beta phase and continuously learning and upgrading with new features and capabilities. To save the interest of Artists, MidJourney also included DMCA takedown policy in their terms of service. This will empower the artists to request the removal of any art piece if they feel it is violating copyright.
Performance and Capabilities
Dall-E
A lot of training with datasets undergoes to train the system to consistently improve the performance and capabilities. Dall-E uses text descriptions in natural language to create high-resolution images and art pieces. Different attributes, concepts, and styles are mixed and matched to deliver the best results and performance.
Dall-E edit
On the 6th of April 2022, OpenAI launched the upgraded form of Dall-E with the name Dall-E 2. The concept of photorealism became more advanced and efficient with Dall-E 2 which can create realistic art using the data in the caption. The functionality of creating an image is general in Dall-E 2, but on top of that, it can also add some extra information on the existing image and also create different variations of the given images on the basis of the input you provide.
Dall-E uses a technology called Clip (Contrastive language image pre-training) for digital photosynthesis, which is developed by OpenAI. It helps to match the images with their corresponding caption in the best possible way, in simple words it works on text and image pairs. The process of text embedding and image embedding takes place to produce the best result from the given caption.
MidJourney
On the other hand, MidJourney also offers great performance and provides high-quality realistic art from natural language commands. By continuously upgrading the technology and removing the flaws in the system, MidJourney has evolved its capabilities a lot from Version 1 to Version 4.
Every week and month, it releases some updates in the system that further improves the efficiency of the AI. If you compare the results produced by the previous version with the latest version, the image details in the latest version are top-notch with more clarity.
In the previous version if you search “Alien spaceship over the futuristic city”, you’ll find the image with the spaceship but the placement of the spaceship was not well, even the futuristic city was also looking somehow messy. The latest version improved these flaws, now if you search for the same query, you’ll find a picture in which the spaceship is hovering over the city and even the city also looks much more realistic.
Hence, the performance and capabilities of both AI-based systems are pretty much similar and deliver the best result in creating high-quality images.
Quality of Art
Creating an image undoubtedly becomes easy with Dall-E and MidJourney, both deliver exceptional quality and still improving with different updates. Here we have compared the quality of Art created by Dall-E and MidJourney. We have passed the same input which is ” ships sailing in a stormy sea” and get the below result.
Comparison in Art Quality of Dall-E and MidJourney
The left-hand image is created by MidJourney which looks clear and detailed, it recognizes the query very well and renders each keyword efficiently to provide the result. A stormy sea looks cool in the first image with every minute detail like the atmosphere is harmonized with the image providing a look of stormy weather.
On the other hand, Dall-E has also generated the image of ships in stormy weather, but the image looks simple compared to the MidJourney image. The weather is normal and there is not much effect of the storm visible. It looks like ships in the sea and nothing more.
Hence, we can say that MidJourney is more precise and accurate in creating images compared to Dall-E. But still, they are in the beta phase and continuously evolving, so it’s too early to judge the quality.
User Interface and Accessibility
Dall-E
In order to use the Dall-E you need to create an account with OpenAI by visiting their official website and clicking on the signup button. You can choose your email address and password to create an account or simply use your existing Gmail account to create an account with OpenAI. After that, you also need to verify your mobile number to continue further.
Once you complete your signup process, you will get 50 credits for free in your account in the first month and also get 15 credits every month, which you can use for creating an image in Dall-E. Now you’re ready to generate images from a description of natural language.
In the search bar, you can input your imagination via query and the algorithm automatically generates the best outcome based on your search query. Mix and match the images and try different variations to get the best result from your search. You can also upload an image and suggest any changes to it through your command to create a unique piece of art.
MidJourney
MidJourney is currently operating on the discord server only, so to use MidJourney you need an account on the discord. First of all, you need to visit the website of MidJourney and click on the join beta program. After this, you need to accept an invite to the discord server from MidJourney. Now open your discord app and click on the boat shape icon of MidJourney, you can join any newcomer room with the name “newbie”.
Use the prompt /imagine and start creating images from your imagination and get the result from MidJourney. The more precisely you give the input into the command the more accurate result you’ll get. You can also upload your image and apply different variations to it, this will change your existing image to a new modified image based on the changes you want.
Price Comparison
Dall-E
When you just signup in OpenAI, you’ll get 50 credits for free to generate images in Dall-E and also get 15 credits every month. On top of that, you can purchase additional 115 credits for $15 if you are out of credit. This credit will get utilized every time you hit a search prompt and try different variations.
Suppose you enter a search query “A girl looking at the moon at night” and hit the generate button. This will create some pictures for you, if you select any picture and try out different variations of the picture then also your credit will get utilized. In this example, one credit is used when you generated an image and one credit is used when you tried out a variation, hence you consumed two credits from your account.
MidJourney
The pricing plan for MidJourney is a little bit confusing for beginners as compared to Dall-E because it contains several plans and uses algorithms. Let’s compare each of them one by one, but before comparing the plan you need to be clear about certain terminologies like fast GPU time, relaxed GPU time, and private visibility.
Fast GPU time: Whenever you enter any prompt for an image creation it will take GPU resources to render the image, the time taken by the GPU to render the image depends on the complexity, details, quality, and more. So fast GPU mode reduces the time to render the images and gives the output as fast as possible.
Relaxed GPU time: In relaxed mode, GPU doesn’t take your work as a priority and takes its time to render the image.
Private Visibility: your created images are visible to the public unless you put them into private. Your images will be on the server but visible only to you.
Free trial: when you sign up in MidJourney for the first time you will get 25 min/Lifetime fast GPU time. If one image generation takes around 1 minute of time then you can generate 25 images for free with this plan. Keep in mind that every time you generate an image or variation, it will take GPU, hence you’ll be charged minutes while generating a new image and also while creating a variation.
Relaxed GPU time and private visibility are not provided in the free plan.
Basic: You’ll charge $10/month when you opt for this plan. In this plan, you will get 200 min per month of fast GPU time and a personal bot Chat. Relaxed GPU time is still not available in this plan but you can opt for a private visibility feature by paying $20/month additional.
Standard:In this plan, you’ll get 15 hrs/month at $30/month inclusive of relaxed GPU time. But in this plan also you need to purchase the private visibility for $20/month if you want.
Also, for both the Basic and Standard plans you can purchase additional time if you are out for the given time in your plan. It will charge $4 for 60 minutes.
Corporate:This plan is best suited for big design companies that need to generate many art pieces and images. For $600/year, you’ll get 120 hrs/year of fast GPU time and unlimited relaxed GPU time, additionally you’ll get private visibility and a personal bot at no extra cost.
Comparison of Features
Features of Dall-E
Quick edit of the uploaded image based on the changes you want.
Different variations to explore and choose from.
Dedicated collection to store generated images in public or private folders.
Full usage right to commercialize the created image.
Already ensured safety before launching the beta version of Dall-E.
Features of MidJourney
Anyone can join the beta program by using the discord link.
Different variations and high-quality images.
Diversified pricing plans.
Availability of Fast and relaxed mode.
Can upload an image and make changes.
Conclusion
AI has made work easier and effortless, but still, this technology is evolving and developing. Dall-E and MidJourney both of them are outstanding AI tools that help to generate realistic images through natural language. So, join their beta program and explore the new height of AI.
FAQ
Which is better DALL-E or MidJourney?
DALL-E creates more real-looking images whereas MidJourney is more on different art styles.
Can you use DALL-E images for free?
DALL-E 2 is currently free to use, but there is a catch. For the first month, you are allotted 50 free credits to use and 15 free credits after that.
What type of AI is MidJourney?
MidJourney is an independent research lab that produces a proprietary artificial intelligence program under the same name that creates images from textual descriptions, similar to OpenAI’s DALL-E and Stable Diffusion.
How does MidJourney actually work?
MidJourney is currently only accessible through a Discord bot on their official Discord, by direct messaging the bot, or by inviting the bot to a third-party server.
Human resources are no less than a building block for organizations. A robust HR team can take companies and organizations to the next level; at the same time, a weak one can spoil established companies. It is vital to nurture and improve the human resources department. After all, this service line recruits the workforce. Stats show the AI market is expanding at a CAGR of 38.1% between 2022 to 2030. AI is claimed to be a top priority in their business plans by 83% of companies.
Artificial intelligence is transforming HR by making it more efficient and unbiased. Contrary to what many people assume, AI has the power to enhance the concept of human contact in HR.
Human resources deal with people and their attitudes. From planning to implementation, several processes come under the HR department. Making new policies, ensuring onboarding standards meet the standards, and whatnot— the HR service line also looks into labour relations, performance management, and job design. The HR team assists in achieving the mission and vision of an organization. The use of AI in HR will not only increase the efficiency of the company but also give employees more alignment with its objectives.
Impacts on Jobs Due to AI in 2022 Worldwide
As of 2022, the global AI market is valued at over $136 billion. Over the next 8 years, it is expected to increase by over 13 times. AI has and will have a heavy impact on job opportunities. It is estimated 2.3 million jobs will be created, while 1.8 million jobs will be eliminated by AI worldwide in 2022.
AI refers to Artificial Intelligence, a tech which enables computers to think and acts like a human. Organizations are using AI to improve productivity. AI takes decisions based on the input provided. It uses a certain kind of algorithm. With work-from-home culture now mainstream and organizations becoming people-sensitive, the need for AI is escalating.
Most of the activities executed by HR are now being managed by AI. It empowers human resources to enhance contacts. According to a survey, 60% of organizations are using AI for talent management.
Uses of AI to Assist Workers in Their Organization as of 2020
Artificial Intelligence in Daily Tasks
AI can take over several tasks that the human resources department deals with on a day-to-day basis. It can give responses to prospective and current employees. It can also help with questions related to policies and procedures. And this is just the tip of the iceberg when it comes to AI’s capabilities. It can also free up time for HR professionals to focus on other work.
Handling forms of different kinds, simplifying training sessions, and AI systems can execute various other tasks.
Improved Talent Search
For organisations, choosing the right talent is a crucial task since employees are the cornerstone to success. When it comes to skills, companies generally have some set of standards. AI can help the HR department to filter resumes as per the desired skill set. AI systems can screen resumes according to the data they are trained on. The department will then have to spend lesser time on the selection process.
Providing Training
AI can help new employees by providing efficient training. A conversational chatbot can be used for this purpose. Employees facing any difficulty can send messages to the chatbot. The latter will reply based on the way it’s programmed. Moreover, the chatbot shall give employees the flexibility to complete external and internal training according to their convenience. At times, employees don’t know whom to contact for queries. An AI-powered helpdesk can facilitate the situation.
AI in decision Making
Artificial Intelligence can help employees to understand their moods better. Due to workload, employees aren’t able to give their best at times. AI can be trained to provide personality and behaviour insights. Individuals can then use this system to facilitate decision-making.
Employee Retention
AI can help the HR team to analyze the reasons behind layoffs and retain more employees. Believe it or not, AI-based systems can help manage the workforce, and that too a satisfied one.
AI can detect and analyze employees who are disengaged or unproductive. It can provide insights as to where the company is lacking, or why its people are discontent.
Appraisals keep the workforce motivated. And the process should not be partial or biased. AI has a role to play here as well. It can ensure employees get the results in tandem with their performance. Giving appraisals or bonuses to the suitable candidate can boost productivity immensely. Moreover, appraisals require neutral thinking, something which AI is capable of.
Companies using AI for HR Management
Companies such as Google, Amazon, IBM, Unilever, L’Oréal, IKEA, Adecco, Hays, Deloitte, Vodafone, PwC, Oracle, TCS, Accenture, and Tech Mahindra have adopted AI for HR Management.
Some AI platforms/tools for HR selection and recruiting are HireVue, Mya Systems, HiredScore, Wade & Wendy, AllyO, Textio, Turing, Toptal, Manatal, Skillate, TurboHire, Talenture, Fetcher, SeekOut, Zoho Recruit, Paradox, Humanly, Findem, hireEZ, AmazingHiring, Loxo, Eightfold.ai , Textio, myInterview, and Arya, Pymetrics.
AI cuts time spent on CV verification, and other recruitment processes. The best eligible candidates are filtered out. Unilever, L’Oréal, and IKEA are the B2C using AI to transform their Candidate Sourcing Strategies.
Company Name
AI Hiring Assistant/solution
Purpose
IKEA
Robot Vera
Conduct interviews and send out customized follow-emails
Unilever
HireVue Assessments
Hire the best and most diverse graduates among potential candidates
L’Oréal
Mya
Filter out the best candidates among the received job applications
AI adoption in HR is increasing. Here is a list of a few companies revolutionizing recruiting process using AI.
AI platform/solution used
Companies using the platform
HireVue
700+ companies, including Unilever, Vodafone, PwC, and Oracle
Mya Systems
L’Oréal, Adecco, Hays, Deloitte, and more
HiredScore
Trusted by 40% of the Fortune 100: Intel, Dell, Domino, Johnson & Johnson, and more
Wade & Wendy
E-Trade, Randstad, Comcast, and more
hireEZ
Deloitte, VISA, Amtec, Wayfair, CommonSpirit, and more
The impact of AI on HR Management is now extending to use cases and problems hitherto unexplored. It is providing helping hands to people in their work. Health, finance, banking, computing, marketing, and management. Artificial Intelligence is penetrating every imaginable industry. With unbiased results and the ability to be improved further, AI is here to stay.
FAQs
How will artificial intelligence affect human resources?
AI provides HR departments with an opportunity to improve the candidate and employee experience by automating repetitive, low-value tasks and freeing up time to focus on the more strategic, creative work that HR teams need and want to get done.
What is artificial intelligence in human resources?
At a high level, AI is a technology that allows computers to learn from and make or recommend actions based on previously collected data. In terms of human resources management, artificial intelligence can be applied in many different ways to streamline processes and improve efficiency.
What is human resource transformation?
Human resource transformation is the process of fundamentally rethinking and rechartering the HR function/department in the organization. If HR professionals do that, they become the “go-to” people to help operating managers address “people problems” they face in getting the organization’s work done.
Can technology replace human resources?
No, technology is not stealing human resources jobs; instead, it’s helping small businesses work more efficiently. Although apps and software eliminate some tasks, they typically aren’t enough to replace a person in the workplace.
Of course, the companies also need to analyze their revenue, profits, capital appreciation, market capitalization, number of investors, total assets and liabilities, and much more.
It is estimated that by 2025 the global data volume will touch 180 Zetta bytes, 572 Zetta bytes by 2030, and it may even go up to 5,00,000 Zetta bytes by 2050.
As you can guess, all this data is extremely big. All companies need someone who can analyze this humongous data, find recurring patterns and provide insights that help the company grow.
This is where a data scientist comes in.
Data science in simple words is applying advanced analytics techniques and scientific principles to extract information from data.
The valuable information extracted from the data is further used to improve business efficiency, find new business opportunities, improve the product or service, increase sales and ultimately boost revenue.
According to Payscale, the average salary of a data scientist in India is 8,73,310 a year.
What Does a Data Scientist Do?
Improve the quality of the data using machine learning techniques and identify patterns and trends.
Validate the data to ensure accuracy, completeness, and uniformity.
Create algorithms and data models that can find valuable information from the data.
Integrate data tools such as Python, R, SAS, or SQL in data analysis.
Find solutions and hidden opportunities from the data.
Skills Required to Become a Data Scientist:
Expertise in programming languages like Python, R Programming, SQL, and Scala.
Strong command of statistics and mathematics (Linear algebra and matrix, statistics, geometry, calculus, probability, regression, dimensionality reduction, and vector models)
Deep understanding of machine learning and artificial intelligence.
Web Scraping.
Data analysis and visualization.
Database management.
2. Artificial Intelligence (AI)
When we hear the word AI we usually think about an army of robots ruling mankind.
We might even think about Siri, Alexa, facial detection, chatbots, self-driving cars, movie recommendations that we get on Netflix, and much more.
Although these applications of Al are very basic. To be very frank, we haven’t scratched the surface of Al.
This means that every other company would be looking for professionals who know how to effectively use the power of Al for the growth of their business.
You can work with big companies like Apple, Microsoft, Google, Facebook, Adobe, Intel, and many more.
In 2020, LinkedIn listed Al specialist as the top emerging job.
According to Simplilearn, the entry-level annual average AI specialist salary in India is around 8 lakhs.
If you have a higher level of expertise and experience it can go as high as 50 lakhs.
There is a crossover between Al and machine learning. You will get to know more about machine learning next!
What Does an Al Specialist Do?
An Al specialist is responsible for creating machines and software problems that can analyze the data and make human-like decisions.
Use machine learning (ML) and neuro-linguistic programming (NLP) to build creative solutions for business problems.
Create solutions that will streamline tedious or repetitive business tasks.
Convert the machine learning models into application program interfaces (APIs).
Skills Required to Become an Al Specialist:
Proficiency in programming languages like Python, C++, and JavaScript.
Linear Algebra, probability, and statistics.
Bayesian networking (including neural nets).
Cognitive science theory.
Engineering.
Robotics.
Physics.
The above graph shows the application areas of AI in an organization in percentage as per the source light-it.net
3. Machine Learning
You must have heard about machine learning a lot of times these days. It is one of the most innovative and rapidly evolving industries that provides lucrative salary packages.
Machine learning can be defined as the subfield of Al where historical data is used by the software applications to produce accurate results and outcomes.
Basically, they are doing the task and learning from their experiences without being explicitly programmed to do so.
Differentiating between illegitimate and legitimate transactions in applications like PayPal and GPay, face detection in images, speech recognition, and medical diagnosis are all popular examples of machine learning.
According to Payscale, the average machine learning salary in India is Rs 686,281 per year, inclusive of bonuses and profit-sharing.
What Does a Machine Learning Engineer Do?
Design self-running software for predictive model automation.
Perform statistical analysis and fine-tune models using test results.
Discover, design, and develop analytical methods to support novel approaches to data and information processing.
Identify differences in data distribution that affect model performance.
Skills Required to Become a Machine Learning Engineer:
Proficiency in programming languages such as Java, R, Python, and C++.
Advanced understanding of linear algebra, calculus, and bayesian statistics.
Software engineering skills.
Knowledge of computer architecture.
The above graph shows the leading areas of machine learning adoption by organizations in percentage from source 99firms.com
4. Cloud Computing
More and more companies are moving towards cloud solutions.
It is estimated that by 2025, the cloud will store over 100 zettabytes of data in it.
In simple words, cloud computing can be defined as the storing and accessing of data and computing services such as servers, data storage, networking, and databases over the internet (cloud).
According to Ambitionbox, the average annual salary of cloud engineers in India is Rs 5.4 Lakhs. This number is based on 7.7k salaries received from cloud engineers.
What Does a Cloud Engineer Do?
Build and maintain cloud infrastructure.
Monitor cloud infrastructure components like networking and security services.
Migrate databases of the companies to the cloud.
Design cloud solutions for clients.
Manage software and hardware associated with the use of cloud computing.
Skills Required to Become Cloud Engineer:
Knowledge of programming languages such as SQL, Java, Python, Ruby, .NET, Golang, and PHP.
Cloud database management skills.
Understanding of DevOps practices.
Knowledge of open standards, such as XML (Extensible Markup Language), SOAP (Simple Object Access Protocol), WSDL (Web Services Description Language), and UDDI (Universal Description, Discovery, and Integration)
By 2023, mobile apps are expected to generate a revenue of $935 billion.
49% of people open an app 11+ times each day.
All these stats show us that if a company wants to succeed they need to develop its own apps.
This means that companies would be actively looking for mobile app developers.
If you know how to develop an awesome app you can earn a lot of money.
What Does a Mobile App Developer Do?
Understand what are the objectives of the brand and how it aligns with the customer needs.
Develop application programming interfaces (APIs) to support mobile functionality.
Create, program, and test the app on all mobile platform devices like smartphones and tablets.
Coordinate with the UI/UX designers.
Ensure all the things are functioning properly both in the front end and back end.
Skills Required to Become a Mobile App Developer:
Proficiency in Java, Kotlin, React.js, and Objective-C.
Knowledge of Syntax.
Understanding of Ul/UX design.
Angular.
Cross-platform application development.
Expertise in using GIT.
6. Ul Design
User Design (UI) refers to the visually appealing elements on the website or app like buttons, toggles, icons, images, colours, typography, and animations.
Ul designers are in high demand since every other company wants an attractive and convenient interface for their website or app.
What Does a UI Designer Do?
Design all the screens through which a user will move. Add buttons, icons, images, and animations.
Decide which fonts and colours to use.
Understand human behaviour and make an intuitive interface that is easy on the eye and simple to use.
Skills Required to Become a UI Designer:
Ability to solve problems with innovative solutions.
Understanding the impact of colours, fonts, and design elements on human psychology.
Knowledge of design principles.
Expertise in using design tools like Adobe Photoshop, Adobe Illustrator, Figma, Sketch, and Proto.io.
8. UX Design
A User experience (UX) is concerned with enhancing the personal experience a user will get through while interacting with your app or website.
Think of the last time when you were using an app to book a movie ticket or while you were browsing through the website.
Did you find it easy to navigate?
Was the experience of using the app smooth?
The UX designer is concerned with all of these interactions.
The demand for UX designers is rapidly increasing.
In 2020, LinkedIn ranked UX design as one of the top 5 in-demand skills.
On the other hand, Glassdoor has ranked the UX designer job at 24th position in their list of the best 50 jobs to have in 2022.
What Does a UX Designer Do?
Identify the goals, behaviour, and pain points of the user.
Understand what problem your brand is trying to solve.
Create flow diagrams, prototypes, and wireframing to help the client understand what the final product will look like.
Conduct A/B tests, polls, surveys, and usability tests to improve the user experience.
Skills Required to Become a UX Designer:
Wireframing and prototyping.
User testing.
UX writing.
User empathy.
Understand how users will interact with your design.
Key Differences Between UI and UX:
A lot of people get confused between UI and UX. Although both of them are different things. Both UI and UX designers play a very important role in product development.
UI Designer
UX Designer
A UI designer focuses on the graphical portions of mobile apps and websites
The UX designer focuses on the experience a user has with a product
Let’s take an example of a hotel booking app. The beautiful fonts, buttons, images, and fonts that you see in the app are UI
The loading speed of the app and the total number of clicks that you take to search, analyze and book a hotel on a hotel booking app is UX
8. Graphic Designing
Every other company is looking for innovative graphic designers who can visually communicate their brand message, increase brand visibility, build credibility, turn leads into customers and ultimately increase the conversion rate.
What Does a Graphic Designer Do?
Develop the overall layout and production design for books, advertisements, brochures, magazines, etc.
Build brand identity by designing logos and selecting the right color palettes and typography.
Develop an attractive packaging of a product.
Understand the brand message and the psychology of the target audience.
Skills Required to Become a Graphic Designer:
Expertise in using Photoshop, Illustrator, and InDesign.
Audience targeting.
Understanding of how UI and UX design work.
Creativity and ideation.
Understanding of colour theory and typography.
The above graph shows an estimated hourly salary of a graphic designer based on their skill level in Dollars
9. Social Media Marketing
I don’t have to explain to you the importance and craze of social media in today’s world.
A single notification from Instagram will disturb our whole working schedule.
Previously, it was used to communicate with our family and friends.
But, now social media can influence our decisions and change our behavioural patterns.
Companies use social media to increase brand awareness, generate leads, and increase sales.
Companies regularly need social media marketers who can utilize the power of social media and help them increase their sales.
What Does a Social Media Marketer Do?
Understand the interests, goals, professions, and demographics of the target audience and create social media posts that resonate with them.
Many people don’t understand the potential of this field.
But, let me tell you that every business on this planet needs a good copywriter.
Why?
Because every business needs someone who can use words that piques curiosity, connect emotionally, and increase sales.
Difference Between Copywriting and Content Writing:
Now, a lot of people get confused between copywriting and content writing.
Although these two fields are completely different, both of them are very important for the functioning of the business.
Copywriting
Content Writing
The sole purpose of copywriting is to inspire people to take an action like signing up for an email, calling a number, or buying a product.
The purpose of content writing is to inform or entertain the readers.
Copywriting is used in advertising.
A content writer writes blogs, social media posts, scripts for videos, whitepapers, etc.
Copywriters help companies to generate leads and increase sales from the trust built by content writers. Hence, they earn a lot more than content writers.
A content writer builds trust for the Copywriters to work upon.
Learning any of these on-demand digital skills will ensure you a bright future and with a good experience, you will get a high salary as well.
Since all of these skills have a huge demand in the future; building a career in these fields will always be fruitful for you.
Now, it’s not necessary that you have to choose skills from this list only. There are tons of other digital skills that we have not mentioned in this article.
So, research more about them and find the skill which you find interesting.
Do courses online and find internships. You can even learn more than 1 skill as well.
FAQs
What digital marketing skills are in demand?
Digital marketing skills that are in demand are Copywriting, Social media marketing, Paid advertising, Search engine optimization (SEO), Search engine marketing (SEM), and Content marketing.
Which skill is best for the future?
The skills that will have huge demand in the future are Artificial intelligence (AI), Mobile app development, Cloud computing, Blockchain, Data Science, UI/UX design, etc.
Which skill makes the most money?
Some of the high-paying skills are project management, mobile application development, cloud computing, etc.
What are the 6 basic skills in developing digital skills?
Six basic skills in developing digital skills are information fluency, collaboration fluency, solution fluency, media fluency, creativity fluency, and digital ethics.
Have you ever thought that it would be possible when we decide to input any text and simultaneously it would convert or generate an image by deciphering or processing what we want to convey through the write-up? For example, you wrote about an armchair in the shape of an avocado. Then, the image you imagined while writing the above sentence would be generated in front of you after some time. Which seems pretty cool and exciting, right?
Now, you would be thinking about what made it possible to carry out this work and its mechanism. That is why here in this article, we will talk about everything related to DALL-E, the image-generating software developed by OpenAI and the theory behind its functioning.
A 12-billion parameter version of the GPT-3, Dall-E is an artificial intelligence model developed by OpenAI capable of generating images from texts. It is the first artificial model that can carry out this phenomenon.
If you are now thinking about whether Dall-E can provide only simple input text illustrations, then you are pretty wrong. Dall-E can give rise to multiple illustrations with several alternatives on a single write-up. Interestingly, it could represent something more bizarre than what you imagined.
How Does Dall-E, the Text-To-Image Generator, Work?
Dall-E is not subjected to only the generation of unique plausible images from various sentences. It can also explore other sides of a complex language structure input in its platform. So, let us look at some of them and see how they work towards it:
Controlling Multiple Objects
AI-Generated Images by DALL-E
For instance, if there is a phrase containing multiple objects and different relationships, like a baby penguin wearing a blue hat, red gloves, green shirt, and yellow pants.
Dall-E does not confuse all the apparel with each other but rather combines each piece of information without mixing them up. However, it’s seen that the proper workability of Dall-E depends on how captions have been arranged and on avoiding misrepresentations.
Conjuring up Both Internal and External Structure
Dall-E is found to quickly draw both the internal and external structures of an object in an exemplary and exquisite manner like never before. But, the details that Dall-E shows can only be visible if referred to or viewed up close.
Adding Contextual Details
While describing a task of translating text to an image, there may be instances where a single caption could give rise to thousands of plausible images, and determining a single image would be hard. Moreover, there could be places where a particular addition of something could make the image more attractive and pleasant to see, but the user may not specify that detail in the caption.
This is where Dall-E stands relatively superior to other 3-D rendering machines or platforms where you can mention every detail ambiguously. For instance, if your text indicates that an image must include a particular detail that is not clearly stated, then Dall-E fills that detail in that excluded space and renders your image picture-perfect.
Workability in the World of Fashion
Next, let us look at how Dall-E fairs in the world of fashion and how it fares in having an excellent fashion sense. Dall-E works efficiently in its capability to provide a range of possibilities whenever two different colour codes are input into text, for example, a yellow and black sweater. Here, it can generate many combinations for how those two colours can be used.
But when it comes to different colours that are less common like olive or navy are conveyed in the text, Dall-E often gets confused regarding it. Sometimes, it recommends shades of light blue or different shades of blue and, likewise in the case of olive, it recommends different shades of brown or some brighter shades of green.
Combining Different Concepts
The creative nature of our language allows us to combine different concepts which are entirely unrelated, like real or imaginary, into one sentence. Along with this fact, Dall-E is also quite capable of combining two imaginary items and generating an image. Although, Dall-E may not always be successful in creating images having unrealistic details. For example, if we want to create a visualization of a snail made of a harp then Dall-E may get confused regarding the forms of the objects or the way it must combine both subjects.
However, it was an animal which is real, so what about an armchair in the shape of an avocado? Dall-E, in this case, tries to devise a solution closely related to the design and practically functional. But there could be instances when the image would not be adequate to what you wanted.
Why Is Dall-E Considered a Breakthrough in Today’s World?
Dall-E is considered a game changer in today’s world because earlier artificial intelligence was able to generate images but needed to see them beforehand to give rise to them. The discovery of Dall-E by OpenAI is revolutionizing the way we use AI with images as a single input of text can now lead to an image being represented closely, resembling what we imagined of it seamlessly.
Global AI Software Market Revenue from 2018 to 2025
Does Dall-E Matter to Us?
After getting a brief understanding of the functioning of Dall-E, we may be faced with a common question: will this machine-learning technique be the end for the creative thinkers or designers in the field? If computers can now generate original images through text, what work is left for humans, albeit artists, graphic designers, or illustrators, doing the same work?
One thing we need to clear out of our minds is that a discovery like Dall-E will not oversee an end to human capabilities or turn out to be a replacement for them but rather be an enhancement to our already evolving workforce.
No technology, after its introduction into the mainstream world, would be able to take over the existing structure just like that. In addition, Dall-E needs a specific language input to render some complex images. Sometimes those images may not be enough for you or up to your standards, depending on their usability.
Even though Dall-E may not be suitable for some purposes, it most definitely is beneficial to sectors like:
Ecommerce sites: When generating impactful and customer-oriented product images through different eCommerce sites, Dall-E becomes quite influential. Dall-E is a cheaper and more affordable option where designers can include extended dynamic imagery and a somewhat simpler option before the usual technical design.
Real estate sites: Another sector where Dall-E is pretty useful is real estate sites. Here, customers or real estate developers could generate images of structures based on how they want to build the place or buyers looking for places depending upon their favourability and specifications.
Other Features That Dall-E Users Can Enjoy
Some other features that users who have chosen Dall-E can enjoy are:
Editing
There could be instances where the image generated by Dall-E is not meeting your requirements. Then, Dall-E offers some of the best editing access that allows you to edit and change the image as per your need.
Variations
Users can add different types of variations on the image which was generated by Dall-E or even uploaded by the user on its platform inspired by the original picture.
Here are some security features that Dall-E is said to improve and offer to its users:
Reducing Misuse
Because of the unique abilities of Dall-E subjected to creating images from text, it is highly possible to be misused to some significant extent by different people. That is why Dall-E rejects users from uploading realistic images to its platform and also restricts users from creating images that depict the faces of celebrities or politicians to avoid any controversy.
Eliminating Bias
Dall-E has implemented a new technique in its security software that prevents it from creating any image containing bias, like tags of a specific gender, caste, or honours. It tries to replicate the true nature of the diversity of the population worldwide.
Preventing the Creation of Harmful Images
The content filters of Dall-E have been made efficient and effective to prevent people from violating the content policy. It doesn’t allow people to generate harmful images towards any organization, public figure, or adult content but stays true to its word of enabling creative expression.
Monitoring
Dall-E servers are constantly automated and humanly monitored to prevent people from misusing the platform.
Conclusion
In the end, after looking at some of the broad aspects of Dall-E, we can say this was machine learning, the artificial language we most probably needed. If you have a common question regarding whether it will take away the human workforce and make more people unemployed. Then, it certainly will not do that because it is still relatively new and needs to expand itself more to perform better in not only generating images out of the text. However, we must agree that this OpenAI development will undoubtedly change the way of working these days.
That is why, hopefully, after reading the above, you are now aware of Dall-E, its workability, and some other aspects that could also help you as a company in many ways.
FAQs
What is DALL-E?
In simple terms, DALL-E is a machine-learning model designed by OpenAI. It is designed to generate digital images from simple text descriptions.
What does DALL-E stand for?
The software, DALL-E is a blend of two names– WALL-E, the animated robot Pixar Character and Salvador Dali, the Spanish surrealist painter.
How expensive is DALL-E?
Users can create with DALL-E with 50 free credits during their first month of use, and 15 free credits every month. Also, they can buy additional credits in 115-generation increments for $15 with each text prompt worth 1 credit.
Aniket Mandal
