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The best Machine & Deep Learning books – Uri Eliabayev – Medium

#artificialintelligence

The second book is "Deep Learning" by Ian Goodfellow, Yoshua Bengio, Aaron Courville, and Francis Bach (Editor). The book came out in 2016 and is considered one of the best books about Deep Learning. It took more than two and a half years to write this great book, which will explain you all the mathematics you need to deal with the Machine and Deep Learning algorithms later in the book.


Should coma patients live or die? Machine learning will help decide.

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In some cases, all it takes is a major blow to the side of the head. When somebody falls into a coma, they lose all motor functions. It's notoriously difficult to determine their future state -- will they ever wake up again? Chinese neurologists at the Academy of Sciences and the PLA General Hospital in Beijing are working hard to develop a tool that can help doctors assess exactly that. But they've got a technological advantage generations of doctors before them didn't: machine learning.


The Rise of the Artificially Intelligent Hedge Fund

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Last week, Ben Goertzel and his company, Aidyia, turned on a hedge fund that makes all stock trades using artificial intelligence--no human intervention required. "If we all die," says Goertzel, a longtime AI guru and the company's chief scientist, "it would keep trading." Goertzel and other humans built the system, of course, and they'll continue to modify it as needed. But their creation identifies and executes trades entirely on its own, drawing on multiple forms of AI, including one inspired by genetic evolution and another based on probabilistic logic. Each day, after analyzing everything from market prices and volumes to macroeconomic data and corporate accounting documents, these AI engines make their own market predictions and then "vote" on the best course of action. If we all die, it would keep trading.


Identifying deep network generated images using disparities in color components

#artificialintelligence

Researchers at Shenzhen University have recently devised a method to detect images generated by deep neural networks. Their study, pre-published on arXiv, identified a set of features to capture color image statistics that can detect images generated using current artificial intelligence tools. "Our research was inspired by the rapid development of image generative models and the spread of generated fake images," Bin Li, one of the researchers who carried out the study, told Tech Xplore. "With the rise of advanced image generative models, such as generative adversarial networks (GAN) and variational autoencoders, images generated by deep networks become more and more photorealistic, and it is no longer easy to identify them with human eyes, which entails serious security risks." Recently, several researchers and global media platforms have expressed their concern with the risks posed by artificial neural networks trained to generate images. For instance, deep learning algorithms such as generative adversarial networks (GAN) and variational autoencoders could be used to generate realistic images and videos for fake news or could facilitate online frauds and the counterfeit of personal information on social media.


What is the Fourth Industrial Revolution? IOL Business Report

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A small number of innovative companies are taking these innovations a step further, and using them to develop new, higher-value business models. With recent advances in artificial intelligence, we are now able to envisage autonomous operations, where machines, and even entire facilities, can run themselves. On top of that, breakthroughs in biotechnology, nanotechnology and quantum computing are allowing us to manipulate the world on ever smaller scales, even at subatomic levels, and to introduce technologies into our bodies which may ultimately transform us. The Fourth Industrial Revolution, or Industry 4.0, builds on previous revolutions, which began in the 18th century with the invention of the steam engine. The Second Industrial Revolution used electricity to create mass production, and the Third used electronics and information technology to automate production.


What is Deep Learning? A Complete Guide to AI in Security

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The security industry has experienced its share of rapid changes that have been well documented in recent years. The question is how soon will the next wave of potential disruption really take hold? In this case, consider buzzwords that are becoming more common to hear at industry trade shows and in market research reports but perhaps remain foreign to many in terms of the everyday lexicon: artificial intelligence (AI), machine learning and deep learning. There is much work to be done as these still-futuristic-sounding technologies make their way into the security industry. Since many sensor manufacturers do not have the expertise in these areas, go-to market strategies have been mostly by partnering with video analytics solution providers taking their first steps into AI.


Opinion: Artificial intelligence could be our next major export

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Two years ago, it started being possible. Today, it's a certainty: Canada is well on its way to becoming a global hub for artificial intelligence, or "AI." We are steadily attracting some of the brightest students and talented scientists to study and conduct research here. The challenge, however, is expanding the number of AI companies, spaces, and institutes to increase job availability and retain these talented individuals. If we can expand the pool of available jobs for our AI researchers and graduates, we stand a chance of retaining them to pursue their AI careers here, instead of losing them to Silicon Valley and giant companies like Google, Microsoft, Apple, and Amazon.


Microsoft wants to save you from idiots smoking at the gas pump

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The system uses deep learning and image recognition to monitor video footage in real time and identify any frames in which dangerous behavior is occurring. Right now the new AI system is only being trialed at two gas stations, one in Thailand and one in Singapore. But if all goes well, it will roll out to other gas stations in the future. And if you need to see how dangerous smoking at the pump really is, check out the video below.


Introducing daylight saving time by 2020 would be 'difficult,' says former Olympics minister Toshiaki Endo

The Japan Times

Japan's former Olympics minister said Thursday it would be difficult to introduce daylight saving time ahead of the 2020 Games in Tokyo, a move that has been discussed as a way to mitigate the nation's scorching heat during the sporting event. "A part of me still wants to do this, but the reality is it's a difficult timeline -- especially when you think about issues around computer systems," said Toshiaki Endo, former minister and senior Liberal Democratic Party lawmaker, to reporters after the party's first meeting on the measure at its headquarters in Tokyo. Endo also currently serves as a vice president of the Tokyo Organising Committee for the games. The ruling party's lawmakers gathered for a study session on the possibility of introducing daylight savings time after Prime Minister Shinzo Abe gave instructions last month to examine its pros and cons. Fast-forwarding the clock has been seen by some as a way for Japan to combat its sultry midsummer weather.


Fortnite season 6 arrives, bringing pets and invisibility

The Independent - Tech

The new season of Fortnite, season 6, is here – and it has brought all kinds of chilling fun with it. The theme of the new season is "Darkness Rises". And that darkness is visible just about everywhere: the world has turned purple, lit up by lightning strikes that reveal seasonal horrors. The two biggest features of the new update are pets and invisibility, ensuring you aren't stuck in the shadows for too long. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.