Again, remember that this is not a comprehensive list, but that it is notable in that there have been so very many new additions to the base of literature from many disciplines added in just the last few weeks. Just one year ago, we pulled the hype hat over our eyes to some extent–after all, this was most useful in tagging images on social sites and getting machines to paint pictures. The potential for higher purposes was there (the supercomputing world is seeing it too) but just beyond reach. We are, it is safe to say, at the real beginning of mainstream applications for deep learning.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Following the release of its second quarter of fiscal year 2016 (2QFY16) earnings release, Wall Street has been incrementally optimistic over Amazon.com, Today, the stock of the US biggest e-commerce force receives two major price target boosts from RBC Capital Markets and Evercore ISI. Amazon stock increased as much as 1.21% and hit an intra-day high of 779.00. Just half an hour after the opening bell, the stock was 1.10% and 1.17 million shares were traded compared to average daily trading of 2.25 million. Ken Sena, analyst at Evercore, maintained Buy rating on Amazon stock and increased price target by 85 to 1015.

Artificial intelligence and machine learning are becoming part of the economy in ways we could only imagine a decade ago. From self-driving cars to robots, the rapid growth of AI creates tremendous potential opportunities to increase productivity and economic growth. Panelists at the event discussed how computer scientists design and implement AI as well as how it is being incorporated into diverse fields and applications, including the current FCC spectrum auction, the digital humanities and image recognition. Discussion panel "Artificial Intelligence and Machine Learning 101," from the event "Artificial Intelligence: The Economic and Policy Implications" hosted by the Technology Policy Institute Speakers: Colin Allen, Provost Professor of Cognitive Science and History & Philosophy of Science & Medicine, Indiana University and Chair Professor of Philosophy, Xi'an Jiaotong University, Xi'an, China Kris Hammond, Chief Scientist and co-founder, Narrative Science and Professor of Computer Science, Northwestern University Jenn Wortman Vaughan, Senior Researcher, Microsoft Research, New York City Alex Tabarrok (moderator), Bartley J. Madden Chair in Economics and Professor of Economics, George Mason University

How Grand Theft Auto helps train self-driving cars, emotional intelligence algorithms, and more! Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning!

Video Interview With Deep Learning Expert Honglak Lee Honglak Lee is Assistant Professor of Computer Science & Engineering at the University of Michigan. He received his Ph.D. from Computer Science Department at Stanford University in 2010, advised by Prof. Andrew Ng. His research interests span deep learning, unsupervised, semi-supervised, and supervised learning, transfer learning, graphical models, and optimization. He also works on application problems in computer vision, audio recognition, robot perception, and text processing. At the 2016 Deep Learning Summit in Boston, Honglak shared expertise on Deep Learning With Disentangled Representations.

Artificial intelligence will play a big role in the future of U.S. strategy in cyberspace, according to National Security Agency Director Adm. Michael Rogers, who told Congress Tuesday that relying primarily on human intelligence "is a losing strategy." "[We're] very much interested in artificial intelligence, machine learning, how we can do cyber at scale [and] at speed," Rogers testified before the Senate Armed Services Committee Tuesday. "Because if we're just going to take this largely human capital approach to doing business, that is a losing strategy." "It will be both incredibly resource intensive, and it will be very slow," Rogers added. "That is a big area of focus for us."

As the global population ages, the number of cancer cases is going up. New cancer diagnoses are expected to rise by 70% in the next 2 decades, from 14 million to around 22 million, according to an estimate by the World Health Organization. Corporate giants like Google and IBM are already focusing on making breakthroughs in oncology, using advanced AI algorithms for early detection and personalized treatment of cancer. We used the CB Insights database to find equity-funded startups that are using artificial intelligence to fight cancer. California-based CureMetrix has developed an algorithm for image analysis, which is currently being tested to identify lung cancer in x-rays and for breast cancer detection in mammograms.

Global software major Microsoft on Monday invited Indian developers to use its machine learning and data platforms for building digital products and solutions to transform businesses and drive inclusive growth. "Our ambition is to democratise access to new technologies so that software developers can build, innovate and transform the world with them," said Microsoft data group Vice President Joseph Sirosh at a conference on machine learning and data sciences here. Noting that cloud-based services for machine learning and big data, coupled with the Internet of Things (IoT) have the potential to revolutionise every aspect of life, including sports, healthcare, education and even government, he said the company's unique platforms such as the Cortana Intelligence suite were helping customers to harness the power of artificial intelligence. The two-day conference is aimed at exploring the possibilities with big data, machine learning, artificial intelligence and open source technologies in enabling platforms, intelligent apps, services and experiences to accelerate economic growth, empower people and drive real impact. Demonstrating the power of data analytics, Microsoft unveiled an Azure machine learning-based approach for calculating target scores in weather-interrupted T-20 cricket matches.

NVIDIA CEO Jen-Hsun Huang unveils technology that will accelerate the deep learning revolution that is sweeping across industries. "AI computing will let us create machines that can learn and behave as humans do. It's the reason why we believe this is the beginning of the age of AI." Huang was joined onstage by Andrew Ng, chief scientist of Baidu, China's largest search engine, who got a rousing reception from the GTC China attendees. With AI becoming "the new electricity," Ng described how the early bets his company has made on GPU technology and deep learning are paying off in a host of AI services that have the potential to transform industries.