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mike_m
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IBM Puts Brain On-a-Chip
mike_m   8/8/2014 11:44:35 AM
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"with the eventual goal of achieving human brain-sized systems of 100 trillion synapses or more."

 

I love this line in the article simply because as it stands right now this chip already has 1000 times the brain power of every United States politician combined, simply amazing!

mikekirschner
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Re: IBM Puts Brain On-a-Chip
mikekirschner   8/8/2014 11:59:29 AM
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Oh man, you beat me to it! :)

R_Colin_Johnson
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Re: IBM Puts Brain On-a-Chip
R_Colin_Johnson   8/8/2014 12:18:37 PM
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With brain-sized power in a low-power package maybe we can "augment" some of those who need more "smarts."

Intellijoule
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IBM Brain chip
Intellijoule   8/8/2014 12:19:05 PM
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IBM, Politicians,

Intellijoule
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IBM Brain chip
Intellijoule   8/8/2014 12:19:24 PM
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IBM, Politicians,

Intellijoule
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IBM Brain chip
Intellijoule   8/8/2014 12:19:39 PM
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IBM, Politicians,

Intellijoule
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IBM Politicans
Intellijoule   8/8/2014 12:35:30 PM
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The comment about chip versus the politicians is not correct!  You must be talking about USA politicans who have no brains at all. Vote for Netanyahu or Hero Putin if you want brains and action!  IBM and Apple will change the way computing occurs at the personal level. Great going IBM!! 

alex_m1
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CEO
The competition
alex_m1   8/8/2014 1:56:42 PM
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Yann lecun, another AI expert , is working on another chip, claim his chip could do much better , 3000 gsops/watt.

https://www.facebook.com/yann.lecun/posts/10152184295832143

R_Colin_Johnson
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Re: The competition
R_Colin_Johnson   8/8/2014 5:52:58 PM
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LeCun makes some good points but he also says "would be capable" which indicates to me that his design is not a reality yet.

lonecowboy
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Brain On-a-Chip!
lonecowboy   8/8/2014 2:07:56 PM
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More information here regarding the people involved with this project :-> http://vlsi.cornell.edu/~ni49/

My former Conexant colleague Professor Alyosha Molnar is one of them!

mithrandir
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Brilliant, but...
mithrandir   8/11/2014 12:16:59 AM
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I really love the concept. But what I'm really looking forward to is seeing what sort of real life applications this chip can do. The programming language and environment is also something which can be pretty complex for more the more 'hands-on' engineer.

I dabbled in Neural networks a bit before and experimented by replacing traditional control loops with the neural ones but the results are pretty underwhelming. Sure the neural networks were better but not by much and the sheer amount of data sets I needed plus the effort to train it offline wasn't all that appealing to me. 

Perhaps the developing environment can take a bit of sting off the process. Anyone else use neural networks for more complex stuff?

 

prabhakar_deosthali
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CEO
Re: Brilliant, but...
prabhakar_deosthali   8/11/2014 3:21:15 AM
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I am also of the opinion that suc h a complex chip will require much more advanced programming language and development environment for the application engineers to be able to develop working products .

I would not be surprised that in a current scenario , a supercomputer will be erquired to program such a complex chip!

AZskibum
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CEO
Almost asynchronous design
AZskibum   8/11/2014 9:53:21 AM
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One of the more fascinating things about this chip is that it is almost a purely asynchronous design. Notice that the only clock used is 1 kHz to "discretize neuron dynamics."

R_Colin_Johnson
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Videos on IBM-Brain-on-a-chip in Actiion
R_Colin_Johnson   8/11/2014 3:55:52 PM
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Here's the links to a couple of videos on how its IBM's brain-chip use spikes to communicate plus how they can work together to perform pattern recognition problems (with "Background" by IBM).
 
How Data Flows:  http://youtu.be/5izS3lAZHmI
Background: IBM's brain-inspired architecture consists of a network of neurosynaptic cores. Cores are distributed and operate in parallel. Cores operate—without a clock—in an event-driven fashion. Cores integrate memory, computation, and communication. Individual cores can fail and yet, like the brain, the architecture can still function. Cores on the same chip communicate with one another via an on-chip event-driven network. Chips communicate via an inter-chip interface leading to seamless scalability like the cortex, enabling creation of scalable neuromorphic systems. 
 
Public Safety Demo:  http://youtu.be/pYJgqd3g6Ks
Background: A video camera on Hoover Tower at Stanford University is looking down at the plaza, below. A simulated network of IBM TrueNorth chips takes in the video data and locates interesting objects. Objects might look interesting to the system because they are moving or have a different color or texture than the background. The system then further processes those portions of the interesting video to determine what the objects are. It is trained in several specific categories, such as buses, cars, people, and cyclists. In a monitoring application, the camera would only need to communicate when it found an interesting object, rather than continually streaming video to a central location. 




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