Researchers have developed a brain-inspired nanoelectronic device that could significantly reduce the energy demands of artificial intelligence systems.
Morning Overview on MSN
Brain-inspired device uses 0.2 nJ per operation for AI computing
A team of researchers has built a neuromorphic computing platform from networks of hydrogenated nickelate junctions that ...
Morning Overview on MSN
Brain-inspired chip claims 70% cut in AI energy use, Cambridge says
University of Cambridge researchers have developed a nanoelectronic device built from hafnium oxide that mimics how ...
Computers have always kept thinking and remembering in separate rooms. The processor works over here; the memory sits over ...
A new neuromorphic device controls hydrogen ions to mimic synaptic learning and memory, achieved for the first time in a vertical two-terminal architecture.
DorsaVi kicks off 180-nm RRAM testing as it targets a 22-nm edge AI/robotics platform, boosting neuromorphic ambitions amid ...
A team led by engineers at the University of California San Diego has developed a new brain-inspired hardware platform that ...
Tiny electronic devices, called microelectronics, may one day be printed as easily as words on a page, thanks to new research from scientists at the U.S. Department of Energy's (DOE) Argonne National ...
At MWC 2026, SDMC and Longsys unveiled joint Edge AI innovations, marking an important step from collaborative R&D to real-world industry deployment. The showcase highlighted how AI Home intelligence ...
New photonic chips could improve autonomous driving technologies and enable robotic systems that learn through real-world interactions.
UT San Antonio is launching the nation’s first open-access neuromorphic computing hub, making cutting edge, brain-inspired computing technology broadly available to researchers nationwide. The new ...
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