Tech Xplore on MSN5d
Unique memristor design with analog switching shows promise for high-efficiency neuromorphic computingThe growing use of artificial intelligence (AI)-based models is placing greater demands on the electronics industry, as many ...
Researchers at Wuhan University have developed new, more effective memristors using special metallic materials.
With $1.8 million from the National Science Foundation’s second Future of Semiconductor program (FuSe2), the University of ...
TDK Corporation announced the development of a neuromorphic element called a ‘spin-memristor’ that has very low power ...
In a recent article published in the National Science Review, based in Beijing, Professor Xingbin Yan and his research team ...
A joint project between University of Kansas and University of Houston supported by $1.8 million from the National Science ...
Tech Xplore on MSN13d
Ultra-low power neuromorphic hardware show promise for energy-efficient AI computationA team including researchers from Seoul National University College of Engineering has developed neuromorphic hardware ...
The zinc-air batteries, which can generate up to a volt, are as thin as a human hair. A battery designed by MIT chemical engineer Michael Strano and colleagues could make it possible for cell-size ...
"Graphene electrodes bring clear benefits to memristor technology," says Dr. Zhichao Weng, Research Scientist at School of Physical and Chemical Sciences at Queen Mary. "They offer not only ...
"Graphene electrodes bring clear benefits to memristor technology," says Dr Zhichao Weng, Research Scientist at School of Physical and Chemical Sciences at Queen Mary. "They offer not only improved ...
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