DeepMind


What AlphaGo Zero Means for the Future of AI EE Times

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Intel's Bob Rogers explains the possibilities that emerge as AI progresses beyond standard machine learning. DeepMind's self-taught Go champion is just the beginning. DeepMind, the division of the Alphabet conglomerate that is devoted to artificial intelligence, recently announced that its Go-playing AI, called Alpha Go, had evolved into a new iteration it calls AlphaGo Zero. The reason for the zero is that the new version is capable of teaching itself how to win the game from scratch. "Zero is even more powerful and is arguably the strongest Go player in history," according to the DeepMind announcement.


3 Books That May Change How You See The World

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In a world of instant gratification and get quick rich schemes, the activities that are worth doing are often forgotten or ignored. They are simple things like habits that produce change and results. The reality is that you may not notice because transformation creeps up on you. You practice or perform your routine one day at a time. It is often incremental and slow.


how-artificial-intelligence-will-boost-these-8-stocks

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A dozen or so companies are well-positioned to reap big profits from the burgeoning market for artificial intelligence (AI), Barron's reports. Among these companies are: semiconductor manufacturers Micron Technology Inc. (MU) and Nvidia Corp. (NVDA); Google parent Alphabet Inc. (GOOGL); database management software developer Oracle Corp. (ORCL); online merchant and cloud-computing leader Amazon.com In 1997, IBM scored a major milestone in AI history when its Deep Blue program beat reigning world chess champion Gary Kasparov, still considered by many experts to be the best player of all time. IBM's Watson question answering system passed a high-profile test in 2011, beating two top former champs on Jeopardy!, the long-running quiz show on TV. Since then, Watson has been rolled out for general commercial use, most notably to aid doctors in making diagnoses.


AI to help, not confront humans, says AlphaGo developer Aja Huang

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AI (artificial intelligence) will not confront human beings but serve as tools at their disopal, as human brain will remain the most powerful, although some say AI machines may be able to talk with people and judge their emotions in 2045 at the earliest, according to Aja Huang, one of the key developers behind AlphaGo, an AI program developed by Google's DeepMind unit. Huang made the comments when delivering a speech at the 2017 Taiwan AI Conference hosted recently by the Institute of Information Science under Academia Sinica and Taiwan Data Science Foundation. Huang recalled that he was invited to join London-based Deep Mind Technologies in late 2012, two years after he won the gold medal at the 15th Computer Olympiad in Kanazawa in 2010. In February 2014, DeepMind was acquired by Google, allowing the AI team to enjoy sufficient advanced hardware resources such as power TPU (tensor processing unit) and enabling them to work out the world's most powerful AI program AlphaGo, which has stunned the world by beating global top Go players. In March, 2016, AlphaGo beat Lee Sedol, a South Korean professional Go player in a five-game match, marking the first time a computer Go program has beaten a 9-dan professional without handicaps.


Deep reinforcement learning: where to start – freeCodeCamp

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More than 200 million people watched as reinforcement learning (RL) took to the world stage. A few years earlier, DeepMind had made waves with a bot that could play Atari games. The company was soon acquired by Google. Many researchers believe that RL is our best shot at creating artificial general intelligence. It is an exciting field, with many unsolved challenges and huge potential.


Voice Style Transfer using Deep Learning – Intuition Machine – Medium

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So it takes a snippet of speech and then translates the snippet of speech using the voice style of another person. The surprising point though of this research is that its able to encode an internal representation of a speech absent the speaking style. Of course, that sounds like voice to text translation. Now it somehow is able to take out a speech style and transpose it elsewhere. The approach in the paper uses auto-regressive networks, one of those curiously strange thingamajigs that DeepMind seems to be enamored with.


How Automation is Going to Redefine What it Means to Work

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On December 2nd, 1942, a team of scientists led by Enrico Fermi came back from lunch and watched as humanity created the first self-sustaining nuclear reaction inside a pile of bricks and wood underneath a football field at the University of Chicago. Known to history as Chicago Pile-1, it was celebrated in silence with a single bottle of Chianti, for those who were there understood exactly what it meant for humankind, without any need for words. Now, something new has occurred that, again, quietly changed the world forever. Like a whispered word in a foreign language, it was quiet in that you may have heard it, but its full meaning may not have been comprehended. However, it's vital we understand this new language, and what it's increasingly telling us, for the ramifications are set to alter everything we take for granted about the way our globalized economy functions, and the ways in which we as humans exist within it.


The turtle that Google's AI thought was a gun – and the intelligence of AI in cyber security Access AI

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Earlier this week, a story surfaced about Google's artificial intelligence (AI) being duped. Researchers identified that by understanding the patterns and ways that an AI system can classify images, they could 3D print a turtle that was identified by Google's systems as a rifle from every angle. It's a funny story (and I haven't even mentioned the baseball classed as an espresso or cat categorised as guacamole), but one that serves to prove a wider point regarding the fragility of AI systems and the extent to which they can actually be deemed'intelligent'. Why isn't artificial intelligence more…intelligent? I've had back and forth arguments about the definition of AI with more than one person, and quite often it comes down to what definition you are actually using.


Machine learning could unlock the power of 'self-driving' data centres IDG Connect

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For Ben Treynor Sloss, Google's VP of engineering, the data centre of the future will not only benefit from the use of machine learning, but will be run by AI. Sloss pointed to the significant cost savings gleaned from Google's own DeepMind machine learning system which was instrumental in running the technology giant's data centre in 2016. The DeepMind system was able to significantly improve the power efficiency of the data centre by adjusting how servers were run and the operation of power and cooling equipment. Energy reductions reached 40% and if similar systems were rolled out across all Google's data centres globally, it could add up to a saving of tens of millions of dollars each year. For Alex Robbio, co-founder and president of Belatrix Software, the potential for the application of machine learning and Artificial Intelligence is about more than just power management.


Investing in AI offers more rewards than risks

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It's difficult to predict how artificial intelligence technology will change over the next 10 to 20 years, but there are plenty of gains to be made. By 2018, robots will supervise more than 3 million human workers; by 2020, smart machines will be a top investment priority for more than 30 percent of CIOs. Everything from journalism to customer service is already being replaced by AI that's increasingly able to replicate the experience and ability of humans. What was once seen as the future of technology is already here, and the only question left is how it will be implemented in the mass market. Over time, the insights gleaned from the industries currently taking advantage of AI -- and improving the technology along the way -- will make it ever more robust and useful within a growing range of applications.