Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Professor Zhen Zhang's research group at the State Key Laboratory of Bionic Interface Materials Science, University of Science and Technology of China, proposed and constructed a neuromorphic ...

Professor Zhen Zhang's research group at the State Key Laboratory of Bionic Interface Materials Science, University of ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

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.

Nanotechnology market continues to surge in prominence, driven by advancements in nanotubes and nanocomposites. This growth ...

Market valued at $76.50B in 2024, projected 9.75% CAGR growth driven by aerospace CMCs, EV batteries, semiconductor ...

A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011 , discusses integrated photonic synapses, neurons, memristors, and ...

Neuromorphic computer solves differential equations ...

Brooks Consulting's Chuck Brooks, a GovCon Expert, explains how AI and quantum technologies are becoming mission-critical ...

Yiran Chen develops brain-inspired semiconductor hardware to enable faster, greener AI at the edge.

Adding zinc ions to lithium niobate crystals cuts the energy needed for polarization switching by 69%, enabling visible-light programming of memristors for brain-inspired computing. (Nanowerk ...