IEEE Spectrum on MSN
Brain-inspired Computing Is Ready for the Big Time
Efforts to build brain-inspired computer hardware have been underway for decades, but the field has yet to have its breakout moment. Now, leading researchers say the time is ripe to start building the ...
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Brain-inspired AI: Human brain separates goals and uncertainty to enable adaptive decision-making
Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...
Scientists at the Indian Institute of Science have developed molecular-scale devices that mimic brain functions and perform multiple computing tasks.
SANTA CRUZ — College students and curious community members from across the county and Bay Area are invited to join a two-day workshop on July 26 and 27 at UC Santa Cruz about semiconductors and the ...
Inspired by how our brains function, the AI algorithms referred to in the paper are known as spiking neural networks. A ...
The brain is a great source of inspiration for Alexander Ororbia, an assistant professor of computer science and cognitive science at RIT. By mimicking how neurons in the brain learn, Ororbia is ...
Researchers developed an Ag/Sb2O3/Au memristor array that mimics brain-like computing, performing on-device image feature extraction with low power consumption, promising smarter and faster electric ...
At the 2025 AI-Driven Science Symposium, Tianqiao Chen, founder of the Tianqiao & Chrissy Chen Institute, first introduced the concept of "Discoverative Intelligence." The Spiking Intelligence Lab ...
Researchers developing next-generation computer systems at Rochester Institute of Technology are designing brain-inspired computer architectures using memristors that will have increased processing ...
Physicists are developing an innovative approach that will significantly improve the energy efficiency of computers. They take their inspiration from the human brain. (Nanowerk News) The rapid ...
A team of researchers from Texas A&M University, Sandia National Lab - Livermore, and Stanford University are taking lessons from the brain to design materials for more efficient computing. The new ...
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