Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...
The NeuRRAM chip is not only twice as energy efficient as state-of-the-art, it's also versatile and delivers results that are just as accurate as conventional digital chips. Neuromorphic computing—a ...
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World’s first neuromorphic supercomputer nears reality with brain-inspired math
The world’s first neuromorphic supercomputer is moving closer to reality after researchers at Sandia National Laboratories ...
Modern computers struggle to match the efficiency of the human brain. Even recognizing handwritten digits can consume significant energy, largely ...
Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the ...
Robotic controls started with simplistic direct-current motors. Engineers had limited mobility because they had few feedback mechanisms. Now, neuromorphic chips are entering the field, mimicking the ...
Los Alamos National Laboratory Researchers Design New Artificial Synapses for Neuromorphic Computing
Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...
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