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.
Yiran Chen develops brain-inspired semiconductor hardware to enable faster, greener AI at the edge.
A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011 , discusses integrated photonic synapses, neurons, memristors, and ...
The Technical University of Munich (TUM) has unveiled the EU's first AI chip using modern 7-nanometer technology. The neuromorphic chip was designed ...
Nanotechnology market continues to surge in prominence, driven by advancements in nanotubes and nanocomposites. This growth ...
Boise State's Kurtis Cantley receives endowed professorship to expand microelectronics research and student mentorship ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...
IEEE Spectrum on MSN
Brain-like computers can do math, too
Neuromorphic computer solves differential equations ...
Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...
Moreover, Neuronova uses a fully analog pipeline that only sends information to the microcontroller unit (MCU) when necessary ...
The Department of Electronics and Nanoengineering at Aalto University School of Electrical Engineering invites applications for a tenure-track professor position in Digital Integrated Circuits and ...
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