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How Automation Hero uses accurate AI to process documents

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We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Before Dr. Alan Turing designed the first computer, people merely dreamed of intelligent machines that could read paperwork and do most of their grunge work for them. Science-fiction movies depict advanced software processing large amounts of documents to find hidden insights that save the day. Today this is available in real life from progressive-thinking software providers. One of them, San Francisco-based Automation Hero, today launched v6.0 of its Hero Platform, a SaaS service the company claims takes a quantum leap in OCR (optical character recognition) document-processing accuracy.


Understand your Algorithm with Grad-CAM

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Is AI just a black box that we started trusting enough to drive cars, detect diseases, identify suspects just because of the hype? You may have heard of the Netflix documentary, Coded Bias (you can watch the film here). The film criticizes deep learning algorithms for their inherent biases; specifically their failure to detect dark-skinned and female faces. The film suggests that the solution to the problem is in government. To "push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all."


Why is AI considered as a "black box"?

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In Her, the 2013 science fiction movie portraying the love between a human and an AI, the behaviors of AI can be explainable. As a result, she can help humans make decisions and even generate deep communication with humans. Unfortunately, these overly idealize scenarios can only exist in science fiction works for now. The explainable AI in practice are not up to standard neither in the aspect of technology nor in the aspect of experiences. Why is AI required to be explainable? Or a more fundamental question would be: why is AI considered as a black box?


What Movies Can Teach Us About Prospering in an AI World – Part 1 - DataScienceCentral.com

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In his book Outliers, Malcom Gladwell unveils the "10,000-Hour Rule" which postulates that the key to achieving world-class mastery of a skill is a matter of 10,000 hours of practice or learning. And while there may be disagreement on the actual number of hours (though I did hear my basketball coaches yell that at me about 10,000 times), let s say that we can accept that it requires roughly 10,000 hours of practice and learning exploring, trying, failing, learning, exploring again, trying again, failing again, learning again for one to master a skill. If that is truly the case, then dang, us humans are doomed. Think about 1,000,000 Tesla cars with its Fully Self Driving (FSD) autonomous driving module practicing and learning every hour that it is driving. In a single hour of the day, Tesla s FSD driving module is learning 100x more than what Malcom Gladwell postulates is necessary to master a task.


Raising Robovoices

Communications of the ACM

In a critical episode of The Mandalorian, a TV series set in the Star Wars universe, a mysterious Jedi fights his way through a horde of evil robots. As the heroes of the show wait anxiously to learn the identity of their cloaked savior, he lowers his hood, and--spoiler alert-- they meet a young Luke Skywalker. Actually, what we see is an animated, de-aged version of the Jedi. Then Luke speaks, in a voice that sounds very much like the 1980s-era rendition of the character, thanks to the use of an advanced machine learning model developed by the voice technology startup Respeecher. "No one noticed that it was generated by a machine," says Dmytro Bielievtsov, chief technology officer at Respeecher.


Hanging Gardens of Babylon Remastered - By AI - AiPedia

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Deep Learning generated fusion of art and knowledge distilled into short movies. For commissioning custom generative art - contact @aipedia_nft on Twitter by DM. (Music videos, immersive gallery pieces, animated logos, etc). This collection is on Ethereum network.


Why Synthetic Data and Deepfakes are the Future of Data Analytics?

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It's impossible to understand what's going on in the enterprise technology space without first understanding data and how data is driving innovation. Synthetic data can be employed in a privacy-safe environment, meaning that users and developers can access it without any concerns over disclosing sensitive information. The main artificial intelligence methods used to create deepfakes are based on deep learning and involve training generative neural network architectures, such as autoencoders or generative adversarial networks (GANs). A 2018 Deloitte survey, for instance, found that "data issues" such as privacy, accessing, and integration was considered the biggest challenges in implementing AI and data analytics initiatives. By generating non-identifiable datasets, however, synthetic data generation can be a vital privacy-enhancing technology that does not carry the regulatory or legal burdens associated with disclosing personal data. Synthetic data is data that you can create at any scale, whenever and wherever you need it.


How Has Artificial Intelligence Impacted Video Editing?

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Artificial Intelligence has changed video editing dynamics significantly. It has affected the video editing industry, as with the help of AI, users can now effortlessly create and edit videos. AI technologies are now painless to access, and today anyone can use machine learning software. You will be amazed to know that for video marketing, AI has become one of the essential technologies and the most in-demand tool because of its unique features, such as abilities to react, sense, adapt, and act. With the help of AI technology, you will be able to produce videos using advanced in-house video editors as together, they can create short films within just a couple of minutes. The best thing about them is that you will not have to worry about music or other tools, as it immediately fixes all your editing problems.


The smartest sci-fi movie on Netflix reveals a dark truth about future technology

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A lonely single man sits down at his computer and meets the love of his life. It seems like a plausible scenario that could occur today. There's just one catch: the love of his life isn't a profile photo of a human on a dating website -- it's an artificially intelligent operating system that adopts a female-sounding voice and goes by the name "Samantha." Released in 2013, the sci-fi drama Her was ahead of its time in anticipating the lightning-fast advances in AI that are now starting to shape our everyday lives. But was its depiction of artificial intelligence scientifically accurate?


What Is Artificial Intelligence? - ExtremeTech

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To many, AI is just a horrible Steven Spielberg movie. But what is artificial intelligence, exactly? The answer depends on who you ask. Broadly, artificial intelligence (AI) is the combination of computer science and robust datasets, deployed to solve some kind of problem. Many definitions of artificial intelligence include a comparison to the human mind or brain, whether in form or function. Alan Turing wrote in 1950 about "thinking machines" that could respond to a problem using human-like reasoning.