Category Technology/Electronics

Neuromorphic computing entails building architectures inspired by elements of the human brain, such as neural organization and synapses. These architectures have proved to be highly promising and advantageous for a number of applications, as they can have both memory and learning functions.

Most current neuromorphic architectures artificially recreate the plasticity (i.e., ability to be easily shaped over time) of synapses, which are junctions between nerve cells that enable the propagation of impulses across brain regions...

A team of researchers led by Sufei Shi, an assistant professor of chemical and biological engineering at Rensselaer Polytechnic Institute, has uncovered new information about the mass of individual components that make up a promising quasiparticle, known as an exciton, that could play a critical role in future applications for quantum computing, improved memory storage, and more efficient energy conversion.

Published today in Nature Communications, the team’s work brings researchers one step closer to advancing the development of semiconductor devices by deepening their understanding of an atomically thin class of materials known as transitional metal dichal...

New research on the two-dimensional (2D) material graphene has allowed researchers to create smart adaptive clothing which can lower the body temperature of the wearer in hot climates.

A team of scientists from The University of Manchester’s National Graphene Institute have created a prototype garment to demonstrate dynamic thermal radiation control within a piece of clothing by utilising the remarkable thermal properties and flexibility of graphene. The development also opens the door to new applications such as, interactive infrared displays and covert infrared communication on textile.

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In a collaboration between Google Brain, Intel Corporation and the University of California, Berkeley, researchers have ‘trained’ robots to mimic surgical procedures through the use of instructional videos.

UC Berkeley professors have previously used YouTube videos as a guide for robots to learn various motions such as jumping or dancing, while Google has trained robots to understand depth and motion. The team applied that knowledge to their latest project, Motion2Vec, in which videos of actual surgical procedures are used for instruction...