This is the best summary I could come up with:

The Stanford Institute for Human-Centered Artificial Intelligence (HAI) on Wednesday celebrated five years of cat herding, which is to say shepherding the responsible development of machine learning.

Simply put, the human brain is orders of magnitude more energy efficient than silicon-based processors, to say nothing about wetware’s evident intellectual superiority and ability to reason and learn.

“The place where computing went wrong, unfortunately, was the digital decision,” Surya Ganguli, an associate professor of applied physics at Stanford, told scientists, academics, and other experts gathered at the HAI at Five conference today.

Jeff Hawkins, founder of Numenta, argued that sensory motor learning, not today’s AI, will be central to the science of intelligence, artificial and natural.

And toward that end, he announced the Bill and Melinda Gates Foundation has funded his company’s Thousand Brains project, a general AI framework that aims to reverse engineer the human neocortex.

Allowing that there are worthwhile uses of direct connections to the brain – to help those who are paralyzed, for example – Hawkins said the focus for such research should be developing tools that help people.

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