Machine minds: Thinking like a person

Researchers are looking to biology—specifically neuroscience—for ways to meet accelerating demands on computer capacity.  Read about their work in a New York Times article by Steve Lohr titled “Creating Artificial Intelligence Based on the Real Thing.”

A team of researchers is at work developing “neuromorphic chips,” which are based on how the brain functions (ie, via neurons and synapses). The goal is create computers that learn from experience without consuming vast quantities of power. The human brain runs on 20 watts of power; IBM’s Watson—the computer that won that game of Jeopardy—runs on 85,000 watts.

Machine minds: The Future of Artificial Intelligence

A major shift in the way people interact with computers is coming. And it is something that we badly need. The problems we face in our societies are growing ever more complex, but our human cognitive capacities remain unchanged.

This quote is from an article titled “The Future of Artificial Intelligence” by Kenneth D. Forbus, published at Public Service Europe. It is about the shift from software as tool to software as collaborator.

What I said in Cel & Anna:

[Cel]  kept track of all of Anna’s personal data and didn’t forget anything, ever. Like all worker-companions, he was essential. Coping with day-to-day life was no longer possible for anyone equipped merely with a brain.