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The subtle difference between simulating brains and number of cells

Massimiliano Versace | November 19, 2009

091019122647-largeIEEE Spectrum has published an interesting article titled “IBM Unveils a New Brain Simulator: A big step forward in a project that aims for thinking chips”. The post describes IBM’s Almaden Research Center latest simulation effort announced at the Supercomputing Conference (SC09), where they unveiled that “that they have created the largest brain simulation to date on a supercomputer. The number of neurons and synapses in the simulation exceed those in a cat’s brain; previous simulations have reached only the level of mouse and rat brains.” Read the rest of this entry »

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SyNAPSE is not alone…

Massimiliano Versace | July 16, 2009

cortical_columnA recent article on the WSJ (In Search for Intelligence, a Silicon Brain Twitches) reviews the Blue Brain project based at the École Polytechnique Fédérale de Lausanne in Switzerland. The Blue Brian project, led for the last four years by Henry Markram, has focused in building a biologically accurate rat cortical column. Read the rest of this entry »

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cortical column, DARPA, learning, neuromorphic technology, spiking neurons, super computer
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A brief history of the memristor: from Leon Chua, to HP, to Boston University

Massimiliano Versace | July 8, 2009

memristor1Justin Mullins is the author of a nice post on the Memristor, appeard on 7/8/2009 on New Scientist. It does a nice job in describing the story of the memristor, from his theoretical discovery in 1971 by Leon Chua at the University of California, Berkeley, to his utilization by Stan Williams and Greg Snider at the HP Labs in Palo Alto, to the implementation of neural models, which involves the department that hosts the Neurdons!… Read the rest of this entry »

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IBM Seeks to Build the Computer of the Future Based on Insights from the Brain

Massimiliano Versace | February 4, 2009

In december 2008, a video post has been published on Abovetopsecret.com  with the title “DARPA & IBM building a “global brain” “cognitive computer” for “monitoring people”. In this video, the leader of the IBM SyNAPSE project, Dharmendra Modha, talks about SyNAPSE.

This is an excerpt from the video:
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IBM and SyNAPSE on Dharmendra S Modha’s Cognitive Computing Blog

Massimiliano Versace | January 26, 2009

Dharmendra S Modha is the Principal Investigator in one of the three DARPA SyNAPSE grants, the one awarded to IBM. Modha is the Manager of the Cognitive Computing facility at IBM. Here is the full article from his blog.

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SyNAPSE in BUSINESSWEEK

Massimiliano Versace | December 2, 2008

1120_mz_brain

Making Computers Based on the Human Brain
How the biology of gray matter is having an increasing influence on computer design

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HP and SyNAPSE

Massimiliano Versace | November 27, 2008

Link: http://www.eetimes.com/news/latest/showArticle.jhtml?articleID=212200673

HP_memristorDr. Snider and his colleagues at HP have built an integrated hybrid circuit with both transistors and memristors. Memristor crossbars are a very promising technology that can ultimately lead to building very dense hybrid chips, several times denser than synapses in the human cortex. Also, memristors have shown the potential to mimic the learning functions of synapses in neural networks. Memristors will the key technology that HP and its academic partner, Boston University, will leverage in the SyNAPSE grant.

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SyNAPSE on the NY Times

Massimiliano Versace | November 23, 2008

On November 20, 2008, the NY Times has published a short article entitled “Hunting for a Brainy Computer”. Steve Lohr interviews the leader of the IBM team. IBM’s Blue Gene has been used to simulate large-scale neural models (see the Blue Brain Project, led by Henry Markram). However, it is easy to mix supercomputers, IBM, and SyNAPSE in a big pot, thinking that they are the same. In reality, the Blue Gene is the example of how not to simulate the brain. This machine, as large as a room, whose power consumption is the same as the sum of the brains of a small city, can barely simulate a cortical column. As this article does not stress much (unlike other cited in this blog), the hardware problem will be solved (hopefully) by nanotechnologies, in particular by porting to nano the immense number of synapses that will link the millions of neurons implemented in the chip. No comment on “Dorothy looking for the Wizard of Oz” and “Want a really intelligent digital assistant”… It is worth mentioning that even with a chip twice the density and half the power consumption that the one SyNAPSE seeks to have in seven years available TODAY in the hands of the best modelers in the world, it is hard to think that we have the necessary modeling skills to implement that is suggested below.


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SyNAPSE in IEEE Spectrum Online

Massimiliano Versace | November 22, 2008

HP memristor

HP memristor ...in perspective

IEEE Spectrum online. Again, IBM appears all over the news. One of the main misconceptions of SyNAPSE is that, imagining of course the 3 companies involved in SyNAPSE succeed, the resulting chip will automatically result in better “MRAPs, UAVs, Mars Rovers”. This is of course not true. A very dense neural chip is 1/2 of the story. The ingredient that SyNAPSE needs to succeed is having meaningful neural models implemented on the chip. And this is where the other 1/2 of the competition will lie in the long (7 years) program.


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IBM ‘burns’ the competition announcing the award of a SyNAPSE grant

Massimiliano Versace | November 12, 2008

IBM Researchers Look to Build ‘Global Brain’ Computer

IT Infrastructure
By Scott Ferguson
2008-11-20

mammalian-brain-computer-inside

IBM is awarded one of the SyNAPSE grants

IBM researchers and scientists from several major universities, with the aid of a $4.9 million grant from DARPA, will look to use nanoscale technology to create new types of computers capable of cognitive thinking. The goal of the IBM research is to find whether new types of IT infrastructure and computers can not only collect data but use that data to solve problems and make decisions in the same way the human brain solves problems.
While a computer with artificial intelligence such as HAL of “2001: A Space Odyssey” remains the stuff of science fiction, IBM researchers are looking to develop technologies that will bring cognitive abilities to a new class of computers.
IBM researchers, along with scientists from several major universities, have been awarded a $4.9 million grant from DARPA (Defense Advanced Research Projects Agency) to see if they can develop computers with the ability to not only collect data but solve problems in much the same way a human brain does.

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