The TrueNorth computer chip is a "neuromorphic" chip that mimics human neurons and performs unusually advanced computations using far less energy than conventional chips, said Qing Wu, principal electronics engineer at the Air Force Research Laboratory at Wright-Patterson Air Force Base, Ohio. The technology could be a huge boost for artificial
CS Digest Section: Neuromorphic Computing
Towards a High-Resolution, Implantable Neural Interface
DARPA has awarded contracts to five research organizations and one company that will support the Neural Engineering System Design (NESD) program: Brown University; Columbia University; Fondation Voir et Entendre (The Seeing and Hearing Foundation); John B. Pierce Laboratory; Paradromics, Inc.; and the University of California, Berkeley. These organizations
U.S. Military Sees Future in Neuromorphic Computing
"The scalable platform IBM is building for AFRL will feature an end-to-end software ecosystem designed to enable deep neural-network learning and information discovery. The 64-chip array's advanced pattern recognition and sensory processing power will be the equivalent of 64 million neurons and 16 billion synapses, while the processor component will consume
https://www.nextplatform.com/2017/06/26/u-s-military-sees-future-neuromorphic-computing/
Imperfect Neuromorphic Devices Benefit from ‘Fuzzy’ Learning
Memristors have attracted interest for mimicking synapses in more energy-efficient scalable approaches to "brain-like" neuromorphic computing. However, their intrinsic variability has inhibited the performance of memristor-based neural networks, stymying progress. Now researchers in Beijing have shown that by introducing "fuzziness" into their neural network
New Brain-Inspired Cybersecurity System Detects ‘Bad Apples’ 100 Times Faster
Sophisticated cybersecurity systems excel at finding "bad apples" in computer networks, but they lack the computing power to identify the threats directly.
https://www.sciencedaily.com/releases/2017/03/170321122540.htm
Neuromorphic, Quantum, Supercomputing Mesh for Deep Learning
While the steady tick-tock of the tried and true is still audible, the last two years have ushered a fresh wave of new architectures targeting deep learning and other specialized workloads, as well as a bevy of forthcoming hybrids with FPGAs, zippier GPUs, and swiftly emerging open architectures.
https://www.nextplatform.com/2017/03/29/neuromorphic-quantum-supercomputing-mesh-deep-learning/
Air Force Tests IBM’s Brain-Inspired Chip as an Aerial Tank Spotter
The Air Force Research Lab (AFRL) reports good results from using a “neuromorphic” chip made by IBM to identify military and civilian vehicles in radar-generated aerial imagery.
Memristors as Logic Gates and Memory Cells in Tomorrow’s Computing Devices
As the last decade ended, ARM’s CTO Mike Muller warned the era of dark silicon was approaching.
Deep Learning Architectures Hinge on Hybrid Memory Cube
We have heard about a great number of new architectures and approaches to scalable and efficient deep learning processing that sit outside of the standard CPU, GPU, and FPGA box and while each is different, many are leveraging a common element at all-important memory layer.
http://www.nextplatform.com/2016/09/12/deep-learning-architectures-hinge-hybrid-memory-cube/
NSF Funds New Integrative Approaches to Study the Brain
The National Science Foundation (NSF) has awarded 18 grants to multidisciplinary teams from across the United States to conduct frontier research focused on neural and cognitive systems. Each award provides a research team with up to $1 million over two to four years.
http://www.eurekalert.org/pub_releases/2016-08/nsf-nfn081916.php
