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"For the last three years, I.B.M. scientists have been developing what they expect will be the world’s most advanced “question answering” machine, able to understand a question posed in everyday human elocution — “natural language,” as computer scientists call it — and respond with a precise, factual answer."

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"Foldit players have control over which parts of the protein they want to move. In this picture, a player uses rubber bands (purple) to pull together two sheets, or long flat regions of the protein."

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The history of computing spans thousands of years – from the primitive notched bones found in Africa, to the invention of abacus in 2400 BC, to Charles Babbage’s Difference Engine in 1883, to the rise of the popularity of Personal Computers (PCs) in the 1970s. For the most part, this timeline is marked by devices that bear little or no resemblance to present-day machines both in form and capabilities.

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- Vol. 23, Part 8 ( August 2010)

computers mind

Harvard Mind/Brain/Behavior - 2009 Distinguished Lecture Series with Professor Daniel Dennett (video)

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Some people use the metaphor of the mind as a computer in promoting the idea that a mind can be replicated on a computer. It's a dubious comparison, a writer says.

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As neuroscientists, we’re excited about the potential of using computational models to test our understanding of how the brain works. On the other hand, although it eventually may be possible to design sophisticated computing devices that imitate what we do, the capability to make such a device is already here. All you need is a fertile man and woman with the resources to nurture their child to adulthood. With luck, by 2030 you’ll have a full-grown, college-educated, walking petabyte. A drawback is that it may be difficult to get this computing device to do what you ask. (NYTimes.com)

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People who believe that the mind can be replicated on a computer tend to explain the mind in terms of a computer. When theorizing about the mind, especially to outsiders but also to one another, defenders of artificial intelligence (AI) often rely on computational concepts. They regularly describe the mind and brain as the “software and hardware” of thinking, the mind as a “pattern” and the brain as a “substrate,” senses as “inputs” and behaviors as “outputs,” neurons as “processing units” and synapses as “circuitry,” to give just a few common examples. (The New Atlantis)

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