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OpenAI touts a new flavour of GPT-3 that can automatically create made-up images to go along with any text description

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OpenAI released a sneak peak of its latest GPT-3-based neural network, a 12-billion-parameter model capable of automatically generating hundreds of fake images when it is given a text caption, stylized as DALL·E.

That might not sound all that interesting at first, but you have to see DALL·E in action to really appreciate it. It can create realistic images of animals, objects, or scenes. We played around with the system and here’s what it spits out when it receives the prompt “a cross-section view of the heart.”

heart

DALL·E has some heart. Click to enlarge

For a more complex example here’s “a living room with two olive armchairs and a painting of a squid. The painting is mounted above a coffee table.” Not bad, eh?

octopus

More complex, but still pretty good. Click to enlarge

It can also come up with drawings for random, nonsensical concepts and dream up objects that probably don’t exist like the “illustration for a baby daikon radish in a tutu walking a dog.”

radish

Because why not? Click to enlarge

There are all sorts of weird combinations you can play with by clicking on the different options of the drop-down menu to choose individual words in the text prompt in the examples on OpenAI’s blog. DALL·E was built from the massive language model GPT-3 and parses text. Instead of generating words and sentences, however, it spits out pixels and images.

It was trained with a dataset likely containing hundreds of millions of images scraped from the internet and its corresponding captions. The research lab is staying quiet about most of the technical details behind DALL·E for now, and said it plans to reveal more in an upcoming academic paper.

Although it’s currently more of a curiosity than a useful tool, some believe it has the potential to disrupt creative industries. If a tool like DALL·E was commercially available, what does the future look like for designers, illustrators, artists, and photographers if a machine can do the same job faster?

“We recognize that work involving generative models has the potential for significant, broad societal impacts,” OpenAI said. “In the future, we plan to analyze how models like DALL·E relate to societal issues like economic impact on certain work processes and professions, the potential for bias in the model outputs, and the longer term ethical challenges implied by this technology.”

No, DALL·E does not spell the death of human art forever

Luba Elliot, a curator and researcher at Creative AI, a lab focused on the intersection of AI and creativity, told The Register that while “DALL·E could certainly have its uses as a commercial product,” there would always be room for human-made art.

“Provided it can generate highly realistic images across the board, it could compete with Shutterstock or Getty Images for some use cases, depending of course on the cost per image and ease of generation. These use cases could include images for articles and blog posts, where the focus is on the writing and the image is there as a content filler.

“In terms of photographers and artists, it depends on what type of work they do. Illustrators and stock photographers may well lose some work to such tools, but we are still far off from replacing fine art photographers and artists with a distinct style and creative vision. This is because, at this stage, machines struggle to both come up with and execute truly novel ideas, frequently their output is heavily based on training data from the past and becomes interesting when shaped and given meaning to by a human artist.”

Shutterstock and Getty Images did not respond our questions.

Sofia Crespo and Feileacan McCormick, digital artists who work at a studio called Entangled Others, agreed. They reckoned that companies selling stock images would probably be hit harder than photographers and illustrators themselves, but thought that DALL·E isn’t yet good enough to replace real images. Its creations are simplistic and the quality fluctuates based on the wording of its text prompt.

If the text input describes too many objects or is particularly wordy it can throw the machine off, making it generate incorrect images. “As more objects are introduced, DALL·E is prone to confusing the associations between the objects and their colors, and the success rate decreases sharply. We also note that DALL·E is brittle with respect to rephrasing of the caption in these scenarios: alternative, semantically equivalent captions often yield no correct interpretations,” the researchers explained.

Here’s an example that explicitly asks for an image that contains three cubes: a red one on top, a green one in the middle, and a blue one at the bottom. The model struggles to understand and comes up with multiple incorrect interpretations – its images contain the wrong number of cubes, and they’re often stacked in the wrong order.

cubes

OK, Not so good. Click to enlarge

Like its predecessor GPT-3, DALL·E is flashy at first but not all that intelligent. The examples demonstrated in the blog post only show the top 32 images out of the 512 generated – that’s means the other 94 per cent or so are hidden from view. It’s likely that if all the examples were shown, the image quality would progressively degrade.

Kyle McDonald, another artist working with code, believes that tools like DALL·E are probably “at least three to five years away from generating the kind of high-resolution imagery that is needed for general-purpose stock photography. Only a few kinds of specific images like faces and landscapes are covered right now,” he said.

The ranking system might not be all that bad if DALL·E was capable of creating more high-quality images, Tom White, an artist and lecturer at the Victoria University of Wellington’s School of Design in New Zealand, told us. “Automating this ranking of the outputs is pretty huge and makes this system much more practical than it otherwise would be.”

It gives the user the ability to automatically filter the good from the bad without having to manually sort through all of the machine’s creations.

Copyright issues and bias

If something like DALL·E was to become a commercial tool, there are additional troubles on top of dwindling job opportunities for photographers, cartoonists, and the like.

Massive generative models are prone to memorising their training data. The larger the neural network, the more data needed to train it, and the more it memorises. A group of researchers led by the University of Berkeley discovered that when using GPT-2, a smaller version of GPT-3 with fewer parameters than DALL·E, they were able to retrieve things like speeches, news headlines, hundreds of digits from the number pi, verses from the Bible and Quran, and even lines of code just by feeding the model with sentences lifted from the internet. The model is good at recalling information – given a prompt it’ll fill in the blanks with what it has seen before.

Since DALL·E is of the same ilk, the images it generates are also a mish-mash of what it has seen off the internet. Occasionally, it will probably create something that looks suspiciously similar to an existing drawing or photograph captured by a real artist. “The primary ethical issue with DALL·E is copyright laundering,” Alex Champandard, co-founder of creative·ai, explained to El Reg. “It’s trained on a large dataset scraped from the internet with no attribution. GPT language models were shown to reproduce their training content verbatim, so the legal situation here, for example of fair use, is unclear until it’s tested in court.”

Another glaring issue that affects all AI models that DALL·E won’t escape from is bias. What if someone uses it to come up with images that are offensive, racist, or obscene? What if these types of images are generated mistakenly? “As long as there are people in the loop to filter those out, it’s OK, but that’s going to be a problem if DALL·E becomes a standalone automated tool,” Champandard said.

The concerns remain speculative for now unless developers create copycat versions that are highly effective and widely available. But it’s not too crazy to believe something like DALL·E will eventually be commercialised. Microsoft has the exclusive rights to license OpenAI’s GPT-3 technology, after all. It’s possible Redmond may use the model as a tool to upgrade clip art and snazz up people’s Word documents or PowerPoint presentations.

Microsoft and OpenAI declined to comment. ®

Source: https://go.theregister.com/feed/www.theregister.com/2021/01/07/openai_dalle_impact/

Artificial Intelligence

AI Offers Powerful Insights into Video Content Production

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AI, language processing, and deep learning are three major technologies that affect streaming services. They are already used to create content and the picture looks beautiful and detailed. If we exploit Artificial Intelligence in live streaming, this would change everything. Modern technology allows us to create automated actions, trigger real-time graphics, analyze audio, monitor social media sentiment and auto-sharing.

AI Leads to New Opportunities for Video Content Development

Some developers saw AI technology as an opportunity and created useful tools that help in video production. Let’s talk about 4 software variants that could be used for video production.

NotMP3

To process multimedia you should have a useful tool that will allow getting them without payment. Nowadays the best content provider is Youtube. That is why we decided to mention NotMP3 software, which uses cutting-edge AI technology. This sort will allow you to fulfill this task for free.

This is free software which is downloadable from the site. This is a simple but very powerful tool that can help you to get audio or video file of any quality you like. You can also get files from Soundcloud and transfer them to various formats.

The main advantage of NotMP3 software is that it is completely free and does not require creating an account. All you have to do is to install and use it.  

Transcriptive AI

The first program that actually uses AI technology is Transcriptive AI. This is a universal tool that is exploited to transcribe footage. It will make that footage searchable. You can use this software to make caption and paper edits.

The creator allows getting a free trial copy but if you want to continue using it, you will have to buy the product. This soft will be useful if you want to find some pieces of audio that have been mentioned in the video. You will also have accurate transcripts spending as little time as possible. The most powerful component is searchability – you can look for clips, sequences, and markers. This machine learning tool works like Google and you just mention the keywords.

Pixop

This is not a tool but a cloud service that exploits intuitive interface and AI technologies for video enhancement. The main advantage of this service is that it is very easy to use. You will not need any plugins and other tools. No subscription and fees are required. This service has been created to encourage creators to update their digital archives as easily as it is possible.

Users value Pixop because it provides a place where you can make video enhancement as fast as possible. This is a flexible and scalable could service which has been created to tackle every requirement. And the most important feature is the fact that it is powered by machine learning – just let AI do the work! Just sign up and use the online tool.

Imagen

This is a media management tool that is used for keeping media safe, secure, and easy to find. This program will help you to organize and unlock the full potential of your video files. You just open a video file and start editing it. This software uses a simple but effective technology to process a picture. Choose a frame, pause it and crop out the needed fragment. Then this picture could be saved on your device and used to create media products. You can add annotations for any image.

This tool could be ideal for content makers that are willing to organize and see the true value of their content. This service lets you focus on the important features of the picture. It is very good for business in content-making industry.

AI is Invaluable for Creating New Video Content

So, what is the best AI solution for content creation? At first, you will need a tool that would be able to download the high-quality video as fast as possible. That is why you will definitely need NotMP3 downloader and converter.

After that try Transcriptive AI program because this is professional software. It has lots of useful features. But it is not free.

If you are looking for the fastest way, try Pixop cloud service – it has all the needed functions. You can use Imagen as a free offline variant which will help you to create the best content.

The post AI Offers Powerful Insights into Video Content Production appeared first on SmartData Collective.

Checkout PrimeXBT
Source: https://www.smartdatacollective.com/ai-offers-insights-into-video-content-production/

Continue Reading

Artificial Intelligence

AI Offers Powerful Insights into Video Content Production

Avatar

Published

on

AI, language processing, and deep learning are three major technologies that affect streaming services. They are already used to create content and the picture looks beautiful and detailed. If we exploit Artificial Intelligence in live streaming, this would change everything. Modern technology allows us to create automated actions, trigger real-time graphics, analyze audio, monitor social media sentiment and auto-sharing.

AI Leads to New Opportunities for Video Content Development

Some developers saw AI technology as an opportunity and created useful tools that help in video production. Let’s talk about 4 software variants that could be used for video production.

NotMP3

To process multimedia you should have a useful tool that will allow getting them without payment. Nowadays the best content provider is Youtube. That is why we decided to mention NotMP3 software, which uses cutting-edge AI technology. This sort will allow you to fulfill this task for free.

This is free software which is downloadable from the site. This is a simple but very powerful tool that can help you to get audio or video file of any quality you like. You can also get files from Soundcloud and transfer them to various formats.

The main advantage of NotMP3 software is that it is completely free and does not require creating an account. All you have to do is to install and use it.  

Transcriptive AI

The first program that actually uses AI technology is Transcriptive AI. This is a universal tool that is exploited to transcribe footage. It will make that footage searchable. You can use this software to make caption and paper edits.

The creator allows getting a free trial copy but if you want to continue using it, you will have to buy the product. This soft will be useful if you want to find some pieces of audio that have been mentioned in the video. You will also have accurate transcripts spending as little time as possible. The most powerful component is searchability – you can look for clips, sequences, and markers. This machine learning tool works like Google and you just mention the keywords.

Pixop

This is not a tool but a cloud service that exploits intuitive interface and AI technologies for video enhancement. The main advantage of this service is that it is very easy to use. You will not need any plugins and other tools. No subscription and fees are required. This service has been created to encourage creators to update their digital archives as easily as it is possible.

Users value Pixop because it provides a place where you can make video enhancement as fast as possible. This is a flexible and scalable could service which has been created to tackle every requirement. And the most important feature is the fact that it is powered by machine learning – just let AI do the work! Just sign up and use the online tool.

Imagen

This is a media management tool that is used for keeping media safe, secure, and easy to find. This program will help you to organize and unlock the full potential of your video files. You just open a video file and start editing it. This software uses a simple but effective technology to process a picture. Choose a frame, pause it and crop out the needed fragment. Then this picture could be saved on your device and used to create media products. You can add annotations for any image.

This tool could be ideal for content makers that are willing to organize and see the true value of their content. This service lets you focus on the important features of the picture. It is very good for business in content-making industry.

AI is Invaluable for Creating New Video Content

So, what is the best AI solution for content creation? At first, you will need a tool that would be able to download the high-quality video as fast as possible. That is why you will definitely need NotMP3 downloader and converter.

After that try Transcriptive AI program because this is professional software. It has lots of useful features. But it is not free.

If you are looking for the fastest way, try Pixop cloud service – it has all the needed functions. You can use Imagen as a free offline variant which will help you to create the best content.

The post AI Offers Powerful Insights into Video Content Production appeared first on SmartData Collective.

Checkout PrimeXBT
Source: https://www.smartdatacollective.com/ai-offers-insights-into-video-content-production/

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AI

How AI is Transforming Cybersecurity in 2021?

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Artificial Intelligence (AI) is one of the main weapons by which companies or medium-sized corporations can combat numerous cyber threats successfully.

According to Warren Buffet, “Cyber-attack is the biggest threat to mankind, even more of a bigger threat than the nuclear weapon.” Therefore, organizations should consider applying the concepts of AI within their workplaces if they want to prosper in the future without compromising their digital anonymity.

Continue reading this post to know what is AI and how it is transforming cybersecurity for all the right reasons.  

What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) is a modern branch of computer science. It helps create smart devices that can perform various tasks depending on the situation using the core concepts of human intelligence.

Thanks to Artificial Intelligence (AI), you can now deposit cheques online from your homes hassle-free. Furthermore, AI allows you to decipher handwriting, making online cheque processing a reality these days.

As far as the importance of AI in cybersecurity is concerned, it enables cybersecurity professionals in detecting and resolving numerous security risks residing in corporate networks of different organizations proactively.

How is AI transforming cybersecurity in 2021?

As previously discussed, AI is providing numerous solutions to cybersecurity experts worldwide. Besides, Artificial Intelligence (AI) will replace the need for human beings in cybersecurity by the end of 2030.

In short, AI will help organizations or businesses significantly improve the performance of their cybersecurity departments in the future without relying on human expertise.

As expected, various organizations are already relying on AI concepts when they want to detect and eliminate potential cyber risks within their networks timely.

Moreover, 80% of telecom companies are benefiting from AI notions to protect themselves against dangerous cybersecurity issues like hacking, data theft, identity theft, and others accordingly.

The best thing about implementing AI concepts is that companies can reduce their cost by 12% in terms of threats and breaches detection. In addition to this, they can follow use cases of AI to improve their performance cybersecurity-wise.

This is one of the major reasons why organizations or businesses are investing huge amounts of money in Artificial Intelligence (AI) globally.

Considering the significance of AI in cybersecurity, we can expect that the role of AI when it comes to enhancing cybersecurity of organizations or businesses will increase with the passage of time.

Is everything rosy with Artificial Intelligence (AI)?

There is no denying that AI offers various advantages to its users, be it companies, medium-sized enterprises and small businesses. However, the worst thing about AI is that it is easily accessible to everyone, including cyber terrorists, which is not good from a cybersecurity point of view.

Therefore, hackers can use the said concepts of AI to accomplish their malicious objectives. Unfortunately, they can access AI models and use them to bypass prevailing cybersecurity practices of organizations or businesses easily.

As a result, they can gain control of corporate IT networks and misuse official data including customers’ personal information and sensitive business communications to execute their notorious plans.

In this scenario, companies should use cybersecurity tools such as VPNs. They can try a VPN service that offers a free trial if they do not want to spend hundreds of bucks initially to see if it helps them safeguard their digital assets from hackers and other cyber goons. Once they are satisfied with its performance, they can consider using its premium packages as per their preferences.

Apart from this, there is no harm in availing different online protection tools like antivirus software, email encryption software, password managers, firewalls, KPIs, etc. Once organizations or companies start using them, they can effectively protect their official devices and business data from the prying eyes of notorious elements over the web.

Lastly, they should provide basic cybersecurity training to improve their employee’s personal privacy either remote or office-based comprehensively.

As a result, they will start updating their official devices regularly. Moreover, they can secure their devices from phishing attacks as they will not click on a suspicious link provided in emails sent from unknown people.

They can also start using password managers like LastPass and others that will enable them to protect their crucial login credentials trouble-free.

Wrapping Things Up

Artificial Intelligence (AI) does have all the right ingredients to transform the future of cybersecurity to the next level. However, companies or businesses should be smart enough to apply AI notions within their workplaces with caution.

Besides, they should not stop following certain cyber hygiene practices at any cost, like installing antivirus software on official devices, data backup, password managers, email encryption tools, etc.

This way, they can protect themselves from the consequences of hacking, data theft, malware, phishing and other cyber risks in 2021 and beyond.

The post How AI is Transforming Cybersecurity in 2021? appeared first on SmartData Collective.

Checkout PrimeXBT
Source: https://www.smartdatacollective.com/how-ai-is-transforming-cybersecurity/

Continue Reading

AI

How AI is Transforming Cybersecurity in 2021?

Avatar

Published

on

Artificial Intelligence (AI) is one of the main weapons by which companies or medium-sized corporations can combat numerous cyber threats successfully.

According to Warren Buffet, “Cyber-attack is the biggest threat to mankind, even more of a bigger threat than the nuclear weapon.” Therefore, organizations should consider applying the concepts of AI within their workplaces if they want to prosper in the future without compromising their digital anonymity.

Continue reading this post to know what is AI and how it is transforming cybersecurity for all the right reasons.  

What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) is a modern branch of computer science. It helps create smart devices that can perform various tasks depending on the situation using the core concepts of human intelligence.

Thanks to Artificial Intelligence (AI), you can now deposit cheques online from your homes hassle-free. Furthermore, AI allows you to decipher handwriting, making online cheque processing a reality these days.

As far as the importance of AI in cybersecurity is concerned, it enables cybersecurity professionals in detecting and resolving numerous security risks residing in corporate networks of different organizations proactively.

How is AI transforming cybersecurity in 2021?

As previously discussed, AI is providing numerous solutions to cybersecurity experts worldwide. Besides, Artificial Intelligence (AI) will replace the need for human beings in cybersecurity by the end of 2030.

In short, AI will help organizations or businesses significantly improve the performance of their cybersecurity departments in the future without relying on human expertise.

As expected, various organizations are already relying on AI concepts when they want to detect and eliminate potential cyber risks within their networks timely.

Moreover, 80% of telecom companies are benefiting from AI notions to protect themselves against dangerous cybersecurity issues like hacking, data theft, identity theft, and others accordingly.

The best thing about implementing AI concepts is that companies can reduce their cost by 12% in terms of threats and breaches detection. In addition to this, they can follow use cases of AI to improve their performance cybersecurity-wise.

This is one of the major reasons why organizations or businesses are investing huge amounts of money in Artificial Intelligence (AI) globally.

Considering the significance of AI in cybersecurity, we can expect that the role of AI when it comes to enhancing cybersecurity of organizations or businesses will increase with the passage of time.

Is everything rosy with Artificial Intelligence (AI)?

There is no denying that AI offers various advantages to its users, be it companies, medium-sized enterprises and small businesses. However, the worst thing about AI is that it is easily accessible to everyone, including cyber terrorists, which is not good from a cybersecurity point of view.

Therefore, hackers can use the said concepts of AI to accomplish their malicious objectives. Unfortunately, they can access AI models and use them to bypass prevailing cybersecurity practices of organizations or businesses easily.

As a result, they can gain control of corporate IT networks and misuse official data including customers’ personal information and sensitive business communications to execute their notorious plans.

In this scenario, companies should use cybersecurity tools such as VPNs. They can try a VPN service that offers a free trial if they do not want to spend hundreds of bucks initially to see if it helps them safeguard their digital assets from hackers and other cyber goons. Once they are satisfied with its performance, they can consider using its premium packages as per their preferences.

Apart from this, there is no harm in availing different online protection tools like antivirus software, email encryption software, password managers, firewalls, KPIs, etc. Once organizations or companies start using them, they can effectively protect their official devices and business data from the prying eyes of notorious elements over the web.

Lastly, they should provide basic cybersecurity training to improve their employee’s personal privacy either remote or office-based comprehensively.

As a result, they will start updating their official devices regularly. Moreover, they can secure their devices from phishing attacks as they will not click on a suspicious link provided in emails sent from unknown people.

They can also start using password managers like LastPass and others that will enable them to protect their crucial login credentials trouble-free.

Wrapping Things Up

Artificial Intelligence (AI) does have all the right ingredients to transform the future of cybersecurity to the next level. However, companies or businesses should be smart enough to apply AI notions within their workplaces with caution.

Besides, they should not stop following certain cyber hygiene practices at any cost, like installing antivirus software on official devices, data backup, password managers, email encryption tools, etc.

This way, they can protect themselves from the consequences of hacking, data theft, malware, phishing and other cyber risks in 2021 and beyond.

The post How AI is Transforming Cybersecurity in 2021? appeared first on SmartData Collective.

Checkout PrimeXBT
Source: https://www.smartdatacollective.com/how-ai-is-transforming-cybersecurity/

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