No one really knows how the most advanced algorithms do what they do. That could be a problem.
Source: There’s a big problem with AI: even its creators can’t explain how it works
The first TPU, shown off last year as a special-purpose chip designed specifically for machine learning, is used by the AlphaGo artificial intelligence system as the foundation of its predictive and decision-making skills. Google also uses the computation power of TPUs every time someone enters a query into its search engine. More recently, the technology has been applied to machine learning models used to improve Google Translate, Google Photos, and other software that can make novel use of new AI training
Source: Google’s next-generation AI training system is monstrously fast – The Verge
Are you thinking of Chappie, Terminator, and Lucy? Sentient, self-aware robots are closer to becoming a reality than you think. Developing computer systems that equal or exceed human intelligence is the crux of artificial intelligence. Artificial Intelligence (AI) is the study of computer science focusing on developing software or machines that exhibit human intelligence. A simple enough definition, right?
Source: Artificial Intelligence 101: How to Get Started | HackerEarth Blog
Artificial Intelligence (AI) promises to transform many aspects of business and society, but with that also comes hype and fear. Here we look at five biggest myths about AI and machine learning which, while commonly quoted or believed, people should stop believing.
Source: 5 Myths About Artificial Intelligence (AI) You Must Stop Believing
Artificial intelligence has never been so hot. The biggest companies in the world are investing in research and rapidly introducing new A.I. products.
Source: Everyone keeps talking about A.I.—here’s what it really is and why it’s so hot now
Just about every AI advance you’ve heard of depends on a breakthrough that’s three decades old. Keeping up the pace of progress will require confronting AI’s serious limitations.
Source: Progress in AI seems like it’s accelerating, but here’s why it could be plateauing
Fears about the impact of technology on jobs have resurfaced periodically ever since. The latest bout of anxiety concerns the arrival of artificial intelligence (AI). Once again, however, technology is creating demand for work. To take one example, more and more people are supplying digital services online via what is sometimes dubbed the “human cloud”. Counter-intuitively, many are doing so in response to AI.
Source: Artificial intelligence will create new kinds of work
The cloud computing market is dominated by some familiar names. Amazon’s cloud service is its most profitable unit. Microsoft has pegged its future to its cloud computing businesses, leading to a very enthusiastic response from Wall Street. Google, too, is betting big on cloud computing as something that could be bigger than its advertising business.
Source: Amazon Web Services versus Microsoft Azure, Google, Oracle – Business Insider
Apple has now rolled out its shiny new iPhones. On Sept. 12, Apple executives predictably pronounced the latest phones “revolutionary.” But the real revolution is happening under the surface and behind the scenes.
Source: The latest iPhones show why A.I. is the new electricity | Computerworld
https://www.forbes.com/sites/gilpress/2017/01/23/top-10-hot-artificial-intelligence-ai-technologies/#69865ca51928
