Researchers at the Department of Energy's Oak Ridge National Laboratory, the University of Tennessee and Texas A&M University demonstrated bio-inspired devices that accelerate routes to neuromorphic, or brain-like, computing.
General Physics
Oct 17, 2019
0
131
Researchers have shown how to shuttle lithium ions back and forth into the crystal structure of a quantum material, representing a new avenue for research and potential applications in batteries, "smart windows" and brain-inspired ...
Condensed Matter
Aug 15, 2018
0
173
Digital computation has rendered nearly all forms of analog computation obsolete since as far back as the 1950s. However, there is one major exception that rivals the computational power of the most advanced digital devices: ...
Materials Science
Jul 23, 2018
0
93
When it comes to processing power, the human brain just can't be beat.
Materials Science
Jan 22, 2018
3
601
One of the greatest challenges facing artificial intelligence development is understanding the human brain and figuring out how to mimic it. Now, one group reports in ACS Nano that they have developed an artificial synapse ...
Nanomaterials
Jun 28, 2017
0
37
Researchers from the CNRS, Thales, and the Universities of Bordeaux, Paris-Sud, and Evry have created an artificial synapse capable of learning autonomously. They were also able to model the device, which is essential for ...
Engineering
Apr 03, 2017
0
293
Scientists from the University of Granada (UGR) have proven for the first time that there is a close relationship between several emerging phenomena in magnetic systems (greatly studied by condensed matter physicists) and ...
General Physics
Mar 13, 2017
0
28
Making a computer that learns and remembers like a human brain is a daunting challenge. The complex organ has 86 billion neurons and trillions of connections—or synapses—that can grow stronger or weaker over time. But ...
Bio & Medicine
Nov 11, 2015
0
80
Scientists have long been dreaming about building a computer that would work like a brain. This is because a brain is far more energy-saving than a computer, it can learn by itself, and it doesn't need any programming. Privatdozent ...
General Physics
Feb 26, 2013
12
0
