The technology world is split when it comes to the future of AI. Is it going to unlock a whole new level of comfort and innovation, or is it going to destroy humanity? This next exhibit about the potential AI holds (good or bad) will literally take your breath away -- and may also help you make up your mind. And it all started off with a chess game. In a hundred game chess marathon, Google DeepMind's AlphaZero, an AI computer program, became the greatest ever chess player in the game's history by annihilating a competing AI system called Stockfish 8. Google's DeepMind merely instructed AlphaZero on the rules of the game, and asked it to learn the game of chess by playing against itself.

AI is transforming every industry it touches from healthcare, to retail and advertising, finance, transport, education, agriculture and so many more. To take care of all the mundane tasks employees currently handle, freeing up their time to be more creative and perform the work that machines cannot do. Today, the rapidly advancing technology is used mostly by large enterprises through machine learning and predictive analytics. AI is not a technology of the future, it's happening now, and companies who fail to adopt it will get left behind. This paper will explore the application of AI in business with research contributions from leading minds in the field including Ankur Handa, Research Scientist, OpenAI, Ian Goodfellow, Senior Research Scientist, Google Brain.

AlphaGo has been going from strength to strength. In January, it emerged that DeepMind's Go-playing AI had been lurking incognito in online Go tournaments and secretly beating some of the world's top human players. And in May it beat Ke Jie, the world's number one player, in Wuzhen, China. Finally, in October, DeepMind unveiled a new version that hones its considerable skills by playing against itself. Three days and 4.9 million games later, AlphaGo Zero is unbeatable.

This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers. For a detailed description of this see the paper The NarrativeQA Reading Comprehension Challenge. Please cite the paper if you use this corpus in your work.

Earlier this year a group of world experts convened to discuss Doomsday scenarios and ways to counter them. The problem though was that they found discussing the threats humanity faces easy, but as for solutions, well, in the majority of cases they were stumped. This week DeepMind, Google's world famous Artificial Intelligence (AI) arm, in a world first, announced they have an answer to the potential AI apocalypse predicted by the group and leading luminaries ranging from Elon Musk to Stephen Hawking, whose fears of a world dominated by AI powered "killer robots" have been hitting the headlines all year, in the form of a test that can assess how dangerous AI's and algorithms really are, or, more importantly, could become. In the announcement, which was also followed up by a paper on the topic, DeepMind said they'd managed to develop a test that would help people assess the safety of new AI algorithms that will power everything from self-driving cars, and cancer treatments to biometric security solutions and voice recognition, as well as those infamous autonomous robots and autonomous weapons systems, and DeepMind's lead researcher, Jan Leike, said that AI algorithms that don't pass their test are probably "pretty dangerous." The test in question is a series of 2D video games in a chessboard like plane made out of pixel blocks that the researchers call "GridWorld" that puts AI's through a series of games in order to evaluate nine safety features that, when combined, can then be used to determine how dangerous an AI is, whether it can modify itself and if it can cheat the game.

You don't have to agree with Elon Musk's apocalyptic fears of artificial intelligence to be concerned that, in the rush to apply the technology in the real world, some algorithms could inadvertently cause harm. This type of self-learning software powers Uber's self-driving cars, helps Facebook identify people in social-media posts, and let's Amazon's Alexa understand your questions. Now DeepMind, the London-based AI company owned by Alphabet Inc., has developed a simple test to check if these new algorithms are safe. Researchers put AI software into a series of simple, two-dimensional video games composed of blocks of pixels, like a chess board, called a gridworld. It assesses nine safety features, including whether AI systems can modify themselves and learn to cheat.

Microsoft has set up an internal "AI University" in a bid to help it overcome the skills shortage in the booming field of artificial intelligence (AI). Chris Bishop, the director of a Microsoft Research lab in Cambridge, UK, told Business Insider that the Microsoft AI University is one of several schemes Microsoft has implemented to address the lack of talent in the field of AI, where there's fierce competition between tech firms to hire the best people. "We have a thing called AI University, which is an internal education programme so that people who are incredibly smart and capable but trained in a different domain can quickly learn about machine learning both in a foundational sense but also in a practical sense of how to use it," said Bishop. When it comes to AI talent, Microsoft is competing with the likes of Amazon and Apple, who also have research offices in Cambridge, as well as DeepMind (owned by Google), Facebook, Twitter, and many others. Chris Bishop is the head of a Microsoft Research lab in Cambridge.Microsoft The global battle for talent is raging because of the potential AI breakthroughs that bright minds stand to make in the next few years thanks to recent advances in computation power and the availability of vast data sets.

Professor of Artificial Intelligence Wolfgang Faber comments on Google announcing that its AlphaGo Zero artificial intelligence program has triumphed at chess against world-leading specialist software within hours of teaching itself the game from scratch and considers where humans will start losing their jobs to intelligent computers and machines. "'Google's'superhuman' DeepMind AI claims chess crown' has been a headline on the BBC recently. What does it mean, and are our jobs, or even our lives in danger? First, let us have a look at what caused this headline: A few days ago, a manuscript by a group around David Silver, Thomas Hubert, and Julian Schrittwieser of London-based, Google (or rather Alphabet)-owned DeepMind was uploaded to arXiv, in which the system AlphaZero is described and very impressive results in learning how to play three traditional board games (chess, shogi, Go) well are reported. The setup allowed for learning very successful (superhuman) strategies in a few ...

DeepMind, the artificial intelligence (AI) unit of Google owner Alphabet, is trying to find out whether AIs can learn how to cheat. The research is potentially important because of the fears of many--such as Elon Musk and Stephen Hawking--that AIs could eventually end up turning on us, taking over the world and/or killing us when they get smart enough. Of course, there are plenty of people who think such fears are overblown, or who dismiss the very idea of an "intelligence explosion," but DeepMind clearly thinks the problem is at least worth addressing. According to Bloomberg, it is doing so through a test that involves running AI algorithms in simple, two-dimensional, grid-based games. What we call AI these days is really based on a concept called machine learning, where algorithms can learn how to do things without being shown how to do them--they effectively teach themselves how to evolve, in order to achieve a goal set by their creator.

You don't have to agree with Elon Musk's apocalyptic fears of artificial intelligence to be concerned that, in the rush to apply the technology in the real world, some algorithms could inadvertently cause harm. This type of self-learning software powers Uber's self-driving cars, helps Facebook identify people in social-media posts, and let's Amazon's Alexa understand your questions. Now DeepMind, the London-based AI company owned by Alphabet Inc., has developed a simple test to check if these new algorithms are safe. Researchers put AI software into a series of simple, two-dimensional video games composed of blocks of pixels, like a chess board, called a gridworld. It assesses nine safety features, including whether AI systems can modify themselves and learn to cheat.