AI trained to slay players in a computer game could one day lead to killer robots

Daily Mail - Science & tech

Two students have built an AI that could be the basis of future killer robots. In a controversial move, the pair trained an AI bot to kill human players within the classic video game Doom. Critics have expressed concern over the AI technology and the risk it could pose to humans in future. Devendra Chaplot and Guillaume Lample, from Carnegie Mellon University in Pittsburgh trained an AI bot - nicknamed Arnold - using'deep reinforcement learning' techniques. While Google's AI software had previously been shown to tackle vintage 2D Atari games such as Space Invaders, the students wanted to expand the technology to tackle three-dimensional first-person shooter games like Doom.

The government is completely unprepared for the coming robot takeover, MPs warn


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



The term "artificial intelligence" is being thrown around a lot lately. But what is artificial intelligence, really? With A.I.'s like Siri, Cortana, and more, the world is approaching what is known as The Singularity, the era of the machine. Though these A.I. are nothing like James Cameron's Skynet in the 1984 sci-fi smash hit The Terminator, it is imperative to understand where artificial intelligence came from in order to fully comprehend where it is going next. Many filmmakers and authors were afraid of the rise of artificial intelligence and attempted to capture this fear in many notable and influential works of fiction that are still relevant today.

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The impact of Artificial Intelligence (AI) on the world must surely be one of the greatest contemporary puzzles. The spectrum of risk and the gamut of possible applications are significantly complex that almost any scenario can be envisioned, from robot apocalypse to workless utopia. The only assurance is that change is coming, and in my opinion, it is likely to be a revolution of a scale seen only during the onset of history-shifting events such as industrialization or farming. The timing is auspicious: Google AI unit DeepMind's AlphaGo has recently beaten South Korean professional game player Lee Sedol at the ancient Japanese board game Go--a game of huge potential complexity based on simple rules and considered one of the biggest challenges in AI, since it defies brute-force planning. As a milestone in machine intelligence (and good PR), it sits up there with IBM Watson's victory on Jeopardy in 2011 and IBM's earlier AI DeepBlue's victory over chess grandmaster Garry Kasparov in 1997.

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Tom Murphy graduated from Carnegie Mellon University with a PhD in computer science. Then he built software that learned to play Nintendo games. In some cases, the system works well. Playing Super Mario, for instance, it learns to exploit a bug in the game, stomping on enemy Goombas even when floating below them. It can rack up points by attacking the game with a reckless abandon you and I would never try.