New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...
Tiny molecules that can think, remember, and learn may be the missing link between electronics and the brain. For more than ...
Interesting Engineering on MSN
World’s first neuromorphic supercomputer nears reality with brain-inspired math
US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the ...
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 ...
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 ...
BUFFALO, N.Y. — It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and ...
Morning Overview on MSN
Forget transistors: an intelligent material computes like a brain
Engineers are starting to build hardware that does not just run artificial intelligence, it behaves like a primitive form of ...
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