Google's New AI Is a Master of Games, but How Does It Compare to the Human Mind?

#artificialintelligence

For humans, chess may take a lifetime to master. But Google DeepMind's new artificial intelligence program, AlphaZero, can teach itself to conquer the board in a matter of hours. Building on its past success with the AlphaGo suite--a series of computer programs designed to play the Chinese board game Go--Google boasts that its new AlphaZero achieves a level of "superhuman performance" at not just one board game, but three: Go, chess, and shogi (essentially, Japanese chess). The team of computer scientists and engineers, led by Google's David Silver, reported its findings recently in the journal Science. "Before this, with machine learning, you could get a machine to do exactly what you want--but only that thing," says Ayanna Howard, an expert in interactive computing and artificial intelligence at the Georgia Institute of Technology who did not participate in the research.


Alphabet's Latest AI Show Pony Has More Than One Trick

WIRED

The history of artificial intelligence is a procession of one-trick ponies. Most recently, Alphabet's DeepMind research group shocked the world with a program called AlphaGo that mastered the Chinese board game Go. But each of these artificial champions could play only the game it was painstakingly designed to play.


Frontier AI: How far are we from artificial "general" intelligence, really?

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Some call it "strong" AI, others "real" AI, "true" AI or artificial "general" intelligence (AGI)... whatever the term (and important nuances), there are few questions of greater importance than whether we are collectively in the process of developing generalized AI that can truly think like a human -- possibly even at a superhuman intelligence level, with unpredictable, uncontrollable consequences. This has been a recurring theme of science fiction for many decades, but given the dramatic progress of AI over the last few years, the debate has been flaring anew with particular intensity, with an increasingly vocal stream of media and conversations warning us that AGI (of the nefarious kind) is coming, and much sooner than we'd think. Latest example: the new documentary Do you trust this computer?, which streamed last weekend for free courtesy of Elon Musk, and features a number of respected AI experts from both academia and industry. The documentary paints an alarming picture of artificial intelligence, a "new life form" on planet earth that is about to "wrap its tentacles" around us. There is also an accelerating flow of stories pointing to an ever scarier aspects of AI, with reports of alternate reality creation (fake celebrity face generator and deepfakes, with full video generation and speech synthesis being likely in the near future), the ever-so-spooky Boston Dynamics videos (latest one: robots cooperating to open a door) and reports about Google's AI getting "highly aggressive" However, as an investor who spends a lot of time in the "trenches" of AI, I have been experiencing a fair amount of cognitive dissonance on this topic.


Frontier AI: How far are we from artificial "general" intelligence, really?

#artificialintelligence

Some call it "strong" AI, others "real" AI, "true" AI or artificial "general" intelligence (AGI)… whatever the term (and important nuances), there are few questions of greater importance than whether we are collectively in the process of developing generalized AI that can truly think like a human -- possibly even at a superhuman intelligence level, with unpredictable, uncontrollable consequences. This has been a recurring theme of science fiction for many decades, but given the dramatic progress of AI over the last few years, the debate has been flaring anew with particular intensity, with an increasingly vocal stream of media and conversations warning us that AGI (of the nefarious kind) is coming, and much sooner than we'd think. Latest example: the new documentary Do you trust this computer?, which streamed last weekend for free courtesy of Elon Musk, and features a number of respected AI experts from both academia and industry. The documentary paints an alarming picture of artificial intelligence, a "new life form" on planet earth that is about to "wrap its tentacles" around us. There is also an accelerating flow of stories pointing to an ever scarier aspects of AI, with reports of alternate reality creation (fake celebrity face generator and deepfakes, with full video generation and speech synthesis being likely in the near future), the ever-so-spooky Boston Dynamics videos (latest one: robots cooperating to open a door) and reports about Google's AI getting "highly aggressive" However, as an investor who spends a lot of time in the "trenches" of AI, I have been experiencing a fair amount of cognitive dissonance on this topic.


Geoffrey Hinton and Demis Hassabis: AGI is nowhere close to being a reality

#artificialintelligence

That's just a sampling of artificial intelligent (AI) systems' achievements in 2018, and evidence of how rapidly the field is advancing. At the current pace of change, analysts at the McKinsey Global Institute predict that, in the U.S. alone, AI will help to capture 20-25 percent in net economic benefits (equating to $13 trillion globally) in the next 12 years. Some of the most impressive work has arisen from the study of deep neural networks (DNNs), a category of machine learning architecture based on data representations. They're loosely modeled on the brain: DNNs comprise artificial neurons (i.e., mathematical functions) connected with synapses that transmit signals to other neurons. Said neurons are arranged in layers, and those signals -- the product of data, or inputs, fed into the DNN -- travel from layer to layer and slowly "tune" the DNN by adjusting the synaptic strength -- weights -- of each neural connection.