Brain Mapping and Artificial Intelligence, a heady mixture for the intellect.
Posting some news on this from the ‘Verge’
Stanford Professor Andrew Ng is bringing back the idea of an artificial intelligence that can think like a person. With Google’s Deep Learning project, he’s creating machines that take a multi-layered approach to information, building up knowledge and figuring out concepts by passing data between various networks that can each recognize a small piece of it. The approach is designed to mimic how the human brain processes information with neural networks, and it’s starting to work — last year, Google’s “brain” figured out how to identify cats in YouTube videos without being told that the concept of “cat” existed.
The second flagship is the “Human Brain Project,” whose goal is to create a detailed map of the human brain. With a sufficiently detailed model, researchers hope they can facilitate new insight into treating neurological diseases, developing medications, and even creating parallel computing systems based on how humans think. Two other finalists, not chosen as flagships, were a plan to promote wearable health devices and a supercomputer that would track economic and social shifts.
Each of the two winning projects will receive €54 million ($72 million) in 2013, distributed over 100 research groups for graphene work and 87 institutions for the Human Brain Project.
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