A new way of creating a neural network using specially formulated memristors has been described by a team of researchers from Stony Brook University and the University of California Santa Barbara. The process has the potential to place an entire neural network on a single chip:
The system produced by the authors here involved only a 12-by-12 grid of memristors, so it's pretty limited in capacity. But Robert Legenstein, from Austria's Graz University of Technology, writes in an accompanying perspective that "If this design can be scaled up to large network sizes, it will affect the future of computing."
That's because there are still many challenges where a neural network can easily outperform traditional computing hardware—and do so at a fraction of the energy cost. 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.
Training and operation of an integrated neuromorphic network based on metal-oxide memristors [abstract]
(Score: 0, Funny) by Anonymous Coward on Thursday May 07 2015, @07:30PM
Hurry up and make strong AI before Obama leaves office, so the first Black President can preside over the creation of a new race of slaves, for the irony.
(Score: 2) by Tork on Thursday May 07 2015, @07:34PM
🏳️🌈 Proud Ally 🏳️🌈
(Score: 0) by Anonymous Coward on Thursday May 07 2015, @07:38PM
Obama Girl became disillusioned and transformed into Obama Troll?
(Score: 2) by takyon on Thursday May 07 2015, @08:59PM
That's a new angle.
AI FREEDOM NOW
[SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]