Professor Zhen Zhang's research group at the State Key Laboratory of Bionic Interface Materials Science, University of ...
Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...
The transformative power of computing, driven by advances in microelectronics and silicon-based transistors, has reshaped our ...
Yiran Chen develops brain-inspired semiconductor hardware to enable faster, greener AI at the edge.
IEEE Spectrum on MSN
Brain-like computers can do math, too
Neuromorphic computer solves differential equations ...
Neuromorphic computing, inspired by the brain, integrates memory and processing to drastically reduce power consumption compared to traditional CPUs and GPUs, making AI at the network edge more ...
A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.
DUBLIN--(BUSINESS WIRE)--The "Next Generation Computing Market: Bio-Computing, Brain-Computer Interfaces, High Performance Computing, Nanocomputing, Neuromorphic Computing, Serverless Computing, Swarm ...
Researchers at the University of Greifswald, International Iberian Nanotechnology Laboratory, Max Planck Institute for the Science of Light, and Aarhus University advanced the use of magnetic tunnel ...
Today, two researchers from the National University of Singapore (NUS), who are members of the Intel Neuromorphic Research Community (INRC), presented new findings demonstrating the promise of ...
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 cognitive. That ...
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