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Singularity Update: New Transistor Mimics The Behavior Of A Synapse

Posted November 03, 2013 3:52 PM

From Science 2.0:

The world's best supercomputers are staggeringly inefficient and energy-intensive machines and the human brain is staggering in its own right; putting a brain's information into CDs would require a skyscraper full of them and, unlike MP3s, there is no way to just create a compression algorithm.

The 86 billion neurons in our brains are connected by synapses that not only complete myriad logic circuits, they also they continuously adapt to stimuli, strengthening some connections while weakening others. We call that process learning and its rapid, highly efficient computational processes can't be matched.

But a new type of transistor can mimic the behavior of a synapse. It simultaneously modulates the flow of information in a circuit and physically adapts to changing signals and that means the effort to create artificial intelligence could focus on the very architecture of a computer rather than smarter algorithms.

The human mind, for all its phenomenal computing power, runs on roughly 20 Watts of energy (less than a household light bulb), so it offers a natural model for engineers.

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Re: Singularity Update: New Transistor Mimics The Behavior Of A Synapse

11/04/2013 11:51 AM

What does this have to do with a singularity?

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Re: Singularity Update: New Transistor Mimics The Behavior Of A Synapse

11/05/2013 12:21 AM

Perhaps; hopefully soon; a method for spanning a severed spinal column will be achieved. Where the minute neural impulses of individual synapses can be sensed, recreated, and then re-injected across the severed tissue.

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