Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Neuromorphic data microscope

Journal Article · · International Conference Proceedings Series (ICPS)
 [1];  [1];  [1];  [1];  [2];  [2];  [2];  [2]
  1. Lewis Rhodes Lab., Concord, MA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
+ Show Author Affiliations

In 2016, Lewis Rhodes Labs, (LRL), shipped the first commercially viable Neuromorphic Processing Unit, (NPU), branded as a Neuromorphic Data Microscope (NDM). This product leverages architectural mechanisms derived from the sensory cortex of the human brain to efficiently implement pattern matching. LRL and Sandia National Labs have optimized this product for streaming analytics, and demonstrated a 1,000x power per operation reduction in an FPGA format. When reduced to an ASIC, the efficiency will improve to 1,000,000x. Additionally, the neuromorphic nature of the device gives it powerful computational attributes that are counterintuitive to those schooled in traditional von Neumann architectures. The Neuromorphic Data Microscope is the first of a broad class of brain-inspired, time domain processors that will profoundly alter the functionality and economics of data processing.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1478335
Report Number(s):
SAND--2017-8752J; 656285
Journal Information:
International Conference Proceedings Series (ICPS), Journal Name: International Conference Proceedings Series (ICPS) Vol. 2017; ISSN 0000-2002
Publisher:
ACM PressCopyright Statement
Country of Publication:
United States
Language:
English

References (14)

Glutamate Receptor-Mediated Oligodendrocyte Toxicity in Periventricular Leukomalacia: A Protective Role for Topiramate journal May 2004
Reducing the Dimensionality of Data with Neural Networks journal July 2006
Neural networks and physical systems with emergent collective computational abilities. journal April 1982
The Lisp Machine manual journal October 1981
Resistive memory device requirements for a neural algorithm accelerator conference July 2016
A logical calculus of the ideas immanent in nervous activity journal December 1943
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip journal October 2015
An Efficient and Scalable Semiconductor Architecture for Parallel Automata Processing journal December 2014
Maximum Storage Capacity in Neural Networks journal August 1987
Finite Memory Loading in Hairy Neurons journal March 2006
Receptive fields of single neurones in the cat's striate cortex journal October 1959
Error tolerant associative memory journal October 1999
NBQX Attenuates Excitotoxic Injury in Developing White Matter journal December 2000
A novel digital neuromorphic architecture efficiently facilitating complex synaptic response functions applied to liquid state machines conference May 2017

Similar Records

Related Subjects

47 OTHER INSTRUMENTATION