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New brain-inspired device sharply reduces AI hardware energy use
A tiny change at the boundary between two oxide layers may point to a less power-hungry future for artificial intelligence.
Computers have always kept thinking and remembering in separate rooms. The processor works over here; the memory sits over there.
A new neuromorphic device controls hydrogen ions to mimic synaptic learning and memory, achieved for the first time in a vertical two-terminal architecture.
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Tiny device processes hand movement in real time, storing visual memories with brain-like efficiency
Engineers at RMIT University have invented a small "neuromorphic" device that detects hand movement, stores memories and processes information like a human brain, without the need for an external ...
Innatera, a leader in brain-like computing for ultra-low-power edge AI, and Joya Design have revealed that Joya Design has successfully developed its first Pulsar-powered AI modul ...
A research team led by Prof. Long Shibing from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) has, for the first time, made spintronic neuromorphic ...
A brain-inspired hardware platform could lead to the development of compact, low-power AI hardware. By mimicking how the brain processes information, the platform improved the speed, accuracy and ...
As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...
(Nanowerk Spotlight) Efforts to design computing systems that operate more like the brain have pushed engineers to rethink how information is processed, transmitted, and stored. Biological neurons are ...
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