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 ...
Zinc doping enables visible-light programming of ferroelectric memristors for neuromorphic computing
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.
Brain-like AI computers demonstrate strong math capabilities, reshaping hardware design with enhanced energy efficiency and ...
BANGALORE, India, Jan. 28, 2026 /PRNewswire/ -- According to Valuates Reports, In 2024, the global market size of Neuromorphic AI Semiconductor was estimated to be worth USD 30.5 Million and is ...
Analysts project the global neuromorphic computing market to skyrocket – from roughly $7.5 billion in 2024 to nearly $59 billion by 2033. This explosive forecast set the stage for an unexpected ...
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 UK will establish a new center to develop brain-inspired, neuromorphic computing technologies. The UK Multidisciplinary Center for Neuromorphic Computing is led by Aston University and will ...
One such effort is underway at the University of Texas at Dallas. Working with Texas Instruments and Arizona-based Everspin Technologies, scientists there have built a small neuromorphic computer ...
Scientists demonstrate neuromorphic computing utilizing perovskite microcavity exciton polaritons operating at room temperature. (Nanowerk News) Neuromorphic computing, inspired by the human brain, is ...
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 ...
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