MIT Embraces Google DeepMinds Intuitive Technology Focus

October 6, 2016

The article on MIT Technology Review titled How Google Plans to Solve Artificial Intelligence conveys the exciting world of Google DeepMind’s Labyrinth. Labyrinth is a 3D environment forged on an open-source platform where DeepMind is challeneged by tasks such as, say, finishing a maze. As DeepMind progresses, the challenges become increasingly complicated. The article says,

What passes for smart software today is specialized to a particular task—say, recognizing faces. Hassabis wants to create what he calls general artificial intelligence—something that, like a human, can learn to take on just about any task. He envisions it doing things as diverse as advancing medicine by formulating and testing scientific theories, and bounding around in agile robot bodies…The success of DeepMind’s reinforcement learning has surprised many machine-learning researchers.

Of the endless applications possible for intuitive technology, the article focuses on the medical, understanding text, and robotics. When questioned about the ethical implications of the latter, Demis Hassabis, the head of Google’s DeepMind team, gave the equivalent of a shrug, and said that those sorts of questions were premature. In spite of this, MIT’s Technology Review seems pretty pumped about Google, which makes us wonder whether IBM Watson has been abandoned. Our question for Watson is, what is the deal with MIT?

Chelsea Kerwin, October 6, 2016
Sponsored by, publisher of the CyberOSINT monograph


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