Earlier quoted context omitted.
I know it's not what you're asking, but for the record you can buy memristor-memory-based microcontrollers in single quantities from Mouser today. The reason I mention it is that memristors are being accused of being vaporware when really they're in production already.
LINK! You just can't say that and not provide a link to the catalog for us!
Neural network chip built using memristors
21–30 of 65 posts
Re: Neural network chip built using memristors
#22Earlier quoted context omitted.
I know it's not what you're asking, but for the record you can buy memristor-memory-based microcontrollers in single quantities from Mouser today. The reason I mention it is that memristors are being accused of being vaporware when really they're in production already.
LINK! You just can't say that and not provide a link to the catalog for us!
I think this is it:
Re: Neural network chip built using memristors
#23I'm very excited about this! Is there any possibility for me to work in a company working on similar stuff? That would make a dream come true for me! I live in Germany and would love to write my masters thesis a related topic! This is so amazing! Btw. I have found an HP Invent sign in my town, but the security guard didn't answer any questions about it. The only thing he said was that I won't find any address or tele…
Are you an EE? What exactly would you like to work on?
I've previous EE experience, but I study CS. I'm open for project suggestions and would love to do research in self-assembly for mass fabrication and study/develop AI Models.
Re: Neural network chip built using memristors
#24Earlier quoted context omitted.
LINK! You just can't say that and not provide a link to the catalog for us!
http://www.mouser.com/ProductDetail/Panasonic/MN101LR05DXW/?...
For anyone interested:
http://en.wikipedia.org/wiki/Resistive_random-access_memory
Re: Neural network chip built using memristors
#25Earlier quoted context omitted.
Are you an EE? What exactly would you like to work on?
I've previous EE experience, but I study CS. I'm open for project suggestions and would love to do research in self-assembly for mass fabrication and study/develop AI Models.
Well, the obvious project suggestion is to read about challenges of building a larger crossbar, then work on overcoming those challenges. Literature list is provided in the paper.
This type of work all about mass fabrication, but has nothing to do with AI models. Which direction you want to go?
Re: Neural network chip built using memristors
#26Memristor crossbars are exciting even outside of neural network applications: it can be used as a very dense, non-volatile memory. If this design can be scaled up, it could potentially replace both flash memory storage, and RAM.
These things are really not well respected for what they can do. IBM introduced their TrueNorth tech late last year. Those used a 'neural' design for the chips to overcome the von Newman barriers for computer design. Along the way, the TrueNorth chips also reduced power consumption by a LOT. However, those designs are still digital. With a memristor in the TrueNorth set-up you can have a similar system for input, processing, storage, and output in an analog system.
I feel that I need to emphasize that. The memristor is the component that will easily allow for analog logic to occur at digital speeds and with digital logic type systems (very grossly speaking). What these little guys can do is under-sold.
Re: Neural network chip built using memristors
#27"Even on a 30 nm process, it would be possible to place 25 million cells in a square centimeter, with 10,000 synapses on each cell. And all that would dissipate about a Watt." Wow - seems like a lot. Human brain by comparison (sourced by google): - 12 watts - 100 billion neurons - 1000 trillion connections Computing with memsisters is going to be very interesting.
The human brain has between 100 and 500 trillion synapses and consumes a lowly 12 watts. (In contrast, a 12.6 megawatt supercomputer, in 2013, took 40 minutes to simulate one second of biological brain activity.)
The article cites 250 billion synapses per watt.
For the same 12 watts as a human brain eats up, a set of memristors could simulate three trillion synapses. A cat, in comparison, has 10 trillion. To get 100 trillion synapses, multiply those 12 watts by 33.3 to get 400 watts (the draw of nearly seven 60-watt incandescent bulbs).
Since one watt bags us 250 billion synapses and 400 watts is equivalent to a memristor-based human brain, then 400 cm^2 is the area needed to emulate the meekest of human minds.
That's nearly the same area as half of a medium Domino's pizza.
Certainly is... food for thought.
Re: Neural network chip built using memristors
#28Memristor crossbars are exciting even outside of neural network applications: it can be used as a very dense, non-volatile memory. If this design can be scaled up, it could potentially replace both flash memory storage, and RAM.
These things are really not well respected for what they can do. IBM introduced their TrueNorth tech late last year. Those used a 'neural' design for the chips to overcome the von Newman barriers for computer design. Along the way, the TrueNorth chips also reduced power consumption by a LOT. However, those designs are still digital. With a memristor in the TrueNorth set-up you can have a similar system for input, pro…
There have been dozens of analog neuromorphic chips built in the last 30 years. Latest ones use floating gate transistors for synapses.
Memristors, in theory, are better devices that flash memory (faster, lower power, more dense), however that's just in theory. In practice, they are very hard to scale. This crossbar is 12x12. No one knows how to build anything much larger than that, on a mass scale.
Re: Neural network chip built using memristors
#29This is one of the exotic devices in DARPA's UPSIDE competition for exascale computing. This initiative seeks to find non-state (non-transistor) based approaches to computation: exploitation of nanoscale response properties of discrete components to perform some restricted, non-binary, forms of computation. Essentially, exotic ways to abuse silicon lithography to get analog computation. The idea, and this can be seen…
How exactly is a memristor not a state device?
And about journalistic coverage... you seem to be knowledgeable about these programs, so there's an opportunity for you :)
Re: Neural network chip built using memristors
#30A neural network chip semi-conductor startup: http://brainchipinc.com/technology/ They "backdoor listed" on to an Australian mining company, share price went from 1 cent to 27 cents: https://www.google.com/finance?cid=11163357 Valued at $57m.
Man, why are all the silicon people so fixated on spiking nets? Maybe in 20 years once we figure out how the brain works they'll be great but if you built a convnet chip instead then it could be smashing records in real problems like speech recognition, translation, image identification, etc, today. Where are the convnet chip startups?