Neural Network Hardware Update

Posted 18 Feb 2006 at 18:33 UTC by steve Share This

An Electronics Weekly article gives an overview of two current projects to implement hardware-based neural network processing. One is a shipping product, the other is still in research and development stages. Doing neural networks in hardware is much faster than implementing them in software. Mentioned are Axeon's Vindax VX1064 ANN coprocessor which provides 64 physical neurons in an SIMD array. The processor can be used to implement neural networks of arbitrary size by mapping them onto the physical neurons. It has achieved speeds of 500k classifications per second. They also describe a project by Steve Furber, one of the principal architects of the ARM processor. Furber's project is developing a chip called FIRE. Each of the chips would contain a PGA and multiple ARM CPUs and might be capable of providing thousands of neurons. They hope to use the chips as nodes in a larger processor to achieve 1 million hardware neurons.

See more of the latest robot news!

Recent blogs

30 Sep 2017 evilrobots (Observer)
10 Jun 2017 wedesoft (Master)
9 Jun 2017 mwaibel (Master)
25 May 2017 AI4U (Observer)
25 Feb 2017 steve (Master)
16 Aug 2016 Flanneltron (Journeyer)
27 Jun 2016 Petar.Kormushev (Master)
2 May 2016 motters (Master)
10 Sep 2015 svo (Master)
14 Nov 2014 Sergey Popov (Apprentice)
Share this page