The rapid progression of technology has led to a huge increase in energy usage to process the massive troves of data generated by devices. But researchers in the Cockrell School of Engineering at The University of Texas at ...
Nanophysics
Apr 13, 2020
0
320
Writing in iScience, zoologists have shown that insects have the cognitive abilities to perform so called numerosity estimation, allowing them to solve simple mathematical problems. Zoologist Professor Dr. Martin Paul Nawrot ...
Plants & Animals
Mar 2, 2020
0
8
The Gouti lab from the Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) has developed functional neuromuscular organoids (NMOs) that self-organize into spinal cord neurons and muscle tissue. ...
Cell & Microbiology
Jan 16, 2020
0
51
Andrey Savchenko, Professor at the Higher School of Economics (HSE University), has developed a method that can help to enhance image identification on videos. In his project, a network was taught by a new algorithm and can ...
Machine learning & AI
Jun 21, 2019
0
0
MIT researchers have developed a novel "photonic" chip that uses light instead of electricity—and consumes relatively little power in the process. The chip could be used to process massive neural networks millions of times ...
General Physics
Jun 6, 2019
1
722
Studying the brain involves measuring the activity of billions of individual brain cells called neurons. Consequently, many brain measurement techniques produce data that is averaged to reflect the activity of large populations ...
General Physics
May 28, 2019
0
25
A team of researchers from the University of Münster, the University of Oxford and the University of Exeter has built an all-optical neural network on a single chip. In their paper published in the journal Nature, the group ...
A research group from Tohoku University has developed spintronics devices which are promising for future energy-efficient and adoptive computing systems, as they behave like neurons and synapses in the human brain.
Nanophysics
Apr 17, 2019
0
57
Whetstone, a software tool that sharpens the output of artificial neurons, has enabled neural computer networks to process information up to a hundred times more efficiently than the current industry standard, say the Sandia ...
Computer Sciences
Feb 27, 2019
0
12
Physicists from Petrozavodsk State University have proposed a new method for oscillatory neural network to recognize simple images. Such networks with an adjustable synchronous state of individual neurons have, presumably, ...
Machine learning & AI
Feb 22, 2019
0
10
