Science, Technology, and Current Futurism
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33rd Square: Supercomputer Used To Decode the Way Cells Perceive Light

33rd Square: Supercomputer Used To Decode the Way Cells Perceive Light | Science, Technology, and Current Futurism | Scoop.it
Researchers have found that the melanopsin pigment in the eye is potentially more sensitive to light than its more famous counterpart, rhodopsin, the pigment that allows for night vision.
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Energy Efficient Brain Simulator Outperforms Supercomputers

Energy Efficient Brain Simulator Outperforms Supercomputers | Science, Technology, and Current Futurism | Scoop.it
Neurogrid is a computing platform that scientists hope will revolutionize our understanding of the brain.
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excerpt: "The difference is that the computations that underlie whether or not a neuron fires are driven by continuous, non-linear processes, more akin to an analog signal. Neurogrid uses an analog signal for computations, and a digital signal for communication. In doing so, it follows the samehybrid

 analog-digital approach as the brain."

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33rd Square: The Human Brain Project Has Begun Building the Super Brain

33rd Square: The Human Brain Project Has Begun Building the Super Brain | Science, Technology, and Current Futurism | Scoop.it
The multi-billion Euro Human Brain Project, co-funded by the European Union, plans to use supercomputers to model the human brain and then use the research to simulate drugs and treatments for diseases, create learning artificial intelligence and...
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Belinda Suvaal's curator insight, October 17, 2013 11:55 AM

Het menselijk brein: 10^12 neuronen (processoren) die door 10^15 verbindingen parallel met elkaar kunnen communiceren....lastige klus dus. 

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Now You Can Build Google's $1M Artificial Brain on the Cheap | Wired Enterprise | Wired.com

Now You Can Build Google's $1M Artificial Brain on the Cheap | Wired Enterprise | Wired.com | Science, Technology, and Current Futurism | Scoop.it
Andrew Ng wants to bring deep learning -- an emerging computer science field that seeks to mimic the human brain with hardware and software -- into the DIY era.
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excerpt: 

“GPUs are so incredibly powerful,” says David Anderson, a computer scientist at Berkeley. “Programs that previously ran on supercomputers, we’re now realizing we can rewrite to run on GPUs at a fraction of the price.” His team at Berkeley recently rejigged the volunteer-parallel-computing platform, BOINC, to be able to run on GPUs. BOINC helps scientists analyze astronomical and biomedical data.

 
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Brains in Silicon

Brains in Silicon | Science, Technology, and Current Futurism | Scoop.it
We're emulating the brain —in silicon

Welcome to Brains in Silicon. Learn about the lab, get to know the brains that work here, and find out about new projects that you could join. 

We have crafted two complementary objectives: To use existing knowledge of brain function in designing an affordable supercomputer—one that can itself serve as a tool to investigate brain function—feeding back and contributing to a fundamental, biological understanding of how the brain works.

We model brains using an approach far more efficient than software simulation: We emulate the flow of ions directly with the flow of electrons—don't worry, on the outside it looks just like software.

Welcome and enjoy your time here!

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