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Seeing AI as a tool that intrinsically benefits humanity- Nikkei Asian Review

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Demis Hassabis, CEO of DeepMind Technologies and developer of AlphaGo, speaks during the Future of Go summit in Wuzhen, China on May 25. (Photo by Joshua Ogawa) Demis Hassabis, CEO of DeepMind Technologies and developer of AlphaGo, speaks during the Future of Go summit in Wuzhen, China on May 25. Naysayers would argue that developing AI this way will be difficult, due to the black box involved in AI's deep learning process. The Japanese Society for Artificial Intelligence expressed similar views in the September 2016 edition of its journal, with what it calls humane artificial intelligence, and in February published ethical guidelines for member AI researchers.


Interview: Human brain is entirely 'computable' -- AlphaGo developer Hassabis- Nikkei Asian Review

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To help in very important areas of the world: climate, disease and other areas of science -- chemistry, biology, materials science -- to advance the world for the benefit of everyone. So, we need to analyze how to build those systems in the right way -- to make them like tools -- and then build other tools, like visualization tools or interpretability tools, to understand how the system is working and making its decisions. Demis Hassabis, left, stands with the world's top Go player Ke Jie, center, and Eric Schmidt, executive chairman of Alphabet, which owns Google and DeepMind, on May 23. (Courtesy of Google) Demis Hassabis, left, stands with the world's top Go player Ke Jie, center, and Eric Schmidt, executive chairman of Alphabet, which owns Google and DeepMind, on May 23.


Google's DeepMind Is Teaching AI How to Think Like a Human

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Last year, for the first time, an artificial intelligence called AlphaGo beat the ranking human champion in a game of Go. While AlphaGo's victory was certainly impressive, this artificial intelligence, which has since beat a number of other Go champions, is still considered "narrow" AI--that is, a type of artificial intelligence that can only outperform a human in a very limited domain of tasks. In contrast, the AI often depicted in science fiction is called "general" artificial intelligence, which means that it has the same level and diversity of intelligence as a human. In the second test, DeepMind researchers created a neural net called the Visual Interaction Network (VIN), which it trained to predict the future states of an object in a video based on its past motion.


Forget AlphaGo, DeepMind has a more interesting step toward general AI

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In two papers published this week and reported by New Scientist, researchers at the Alphabet subsidiary describe efforts to teach computers about relational reasoning, a cognitive capability that is foundational to human intelligence. The two systems developed at DeepMind solve that by modifying existing machine-learning methods to make them capable of learning about physical relationships between static objects, as well as the behavior of moving objects over time. In the second paper, the researchers show how a similarly modified machine-learning system can learn to predict the behavior of simple objects in two dimensions. Without new ideas, AI systems will remain incapable of things like holding a real conversation or solving difficult problems on their own.


Forget AlphaGo, DeepMind has a more interesting step toward general AI

#artificialintelligence

In two papers published this week and reported by New Scientist, researchers at the Alphabet subsidiary describe efforts to teach computers about relational reasoning, a cognitive capability that is foundational to human intelligence. The two systems developed at DeepMind solve that by modifying existing machine-learning methods to make them capable of learning about physical relationships between static objects, as well as the behavior of moving objects over time. In the second paper, the researchers show how a similarly modified machine-learning system can learn to predict the behavior of simple objects in two dimensions. Without new ideas, AI systems will remain incapable of things like holding a real conversation or solving difficult problems on their own.


#Google Cozies Up to #China With #AI Secrets and a Game of Go - walkertecharts.com

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Google's latest effort to thaw relations with China involves an artificial intelligence pow-wow -- and a few games of Go. Google's latest effort to thaw relations with China involves an artificial intelligence pow-wow -- and a few games of Go. Years after Beijing locked out virtually every Alphabet Inc. service, executive chairman Eric Schmidt and a cadre of mid-level Chinese government officials kicked off a summit in the historic canal-laced town of Wuzhen Tuesday: a rare instance of the search leader working in tandem with the country's bureaucrats at a high-profile public event. Google experts and prominent local academics will exchange notes and host discussions but the centerpiece will be a contest between DeepMind's so-far undefeated AlphaGo system and Ke Jie, local champion of the 2,500-year-old strategy board game Go.


AI-Maths machine completes university exam in record time

Daily Mail

A machine learning system called AI-Maths has completed the maths section of the annual Chinese university exams in blistering time. An AI system developed in 2014 using big data, artificial intelligence and natural language recognition technologies, had mixed results after attempting China's annual university entrance exam. The AI was developed in 2014 by a Chengdu-based company, Zhunxingyunxue Technology, using big data, artificial intelligence and natural language recognition technologies from Tsinghua University. The Google-owned computer algorithm AlphaGo is retiring from playing humans in the ancient Chinese game of Go after defeating the world's top player.


Google's AlphaGo AI will face its biggest challenge yet next month

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It's just over a year since Google's DeepMind unit stunned the world when its AlphaGo AI beat Go legend Lee Se-dol 4-1 in a five-game match; the result demonstrated mastery of a feat that had eluded computer scientists for decades and sparked a flood of new interest in the field of artificial intelligence. A professional since the age of 10, Ke has beaten Lee several times in high-profile matches in recent years, including three finals victories in the three months leading up to Lee's AlphaGo match. "Instead of diminishing the game, as some feared, artificial intelligence has actually made human players stronger and more creative," DeepMind CEO and co-founder Demis Hassabis says. "It's humbling to see how pros and amateurs alike, who have pored over every detail of AlphaGo's innovative game play, have actually learned new knowledge and strategies about perhaps the most studied and contemplated game in history.


No more playing games: AlphaGo AI to tackle some real world challenges

Robohub

In the human brain, sensory information is processed in a series of layers. The AI equivalent is called deep learning; deep because it involves many layers of processing in simple neuron-like computing units. By combining deep learning and reinforcement learning in a series of artificial neural networks, AlphaGo first learned human expert-level play in Go from 30 million moves from human games. Although it couldn't sample every possible board position, AlphaGo's neural networks extracted key ideas about strategies that work well in any position.


Artificial intelligence is beating humanity at its own games

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Go is an ancient, aristocratic Chinese board game that's reputed to have as many possible moves as there are atoms in the universe. And China is just mad that an American company beat the world at a Chinese game. VICE News reports on what the competition really means for AI development. This segment originally aired May 30, 2017, on VICE News Tonight on HBO.