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Credit: COPYRIGHT (C) TOYOHASHI UNIVERSITY OF TECHNOLOGY. ALL RIGHTS RESERVED. Overview: Associate Professor Hiroto Sekiguchi and Ph.D. candidate Hiroki Yasunaga in the Department of Electrical and Electronic Information Engineering at Toyohashi University of Technology have developed a MicroLED neural probe for neuroscience. This MicroLED tool can optogenetically control and observe neural activity in the brain. Neural activity was successfully recorded using the neural probe, and sufficient light output was obtained from the MicroLED to activate neural activity. The developed MicroLED tool ...

University of Washington researchers helped six Seattle-area people with spinal cord injuries regain some hand and arm mobility.

 E-Mail Smartwatches and other battery-powered electronics would be even smarter if they could run AI algorithms. But efforts to build AI-capable chips for mobile devices have so far hit a wall - the so-called "memory wall" that separates data processing and memory chips that must work together to meet the massive and continually growing computational demands imposed by AI. "Transactions between processors and memory can consume 95 percent of the energy needed to do machine learning and AI, and that severely limits battery life," said computer scientist Subhasish Mitra, senior author of a ne...

 E-Mail IMAGE: Optical microscope (OM) and scanning electron microscope (SEM) images of viscous liquid metal particles during stretching. During this process, the oxide film on the surface of the microparticles may stretch... view more  Credit: POSTECH Today's electronic devices strive for new form factors - to make them foldable, stretchable, and deformable. To produce such devices that are highly stretchable or deformable, it is necessary to develop electrodes and circuit lines whose electrical properties can withstand harsh deformation or mechanical damage. To this, POSTECH-Yonse...

 E-Mail Artificial intelligence and machine learning are already an integral part of our everyday lives online. For example, search engines such as Google use intelligent ranking algorithms and video streaming services such as Netflix use machine learning to personalize movie recommendations. As the demands for AI online continue to grow, so does the need to speed up AI performance and find ways to reduce its energy consumption. Now a University of Washington-led team has come up with a system that could help: an optical computing core prototype that uses phase-change material. This system...