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

A team of researchers at Queen's University has developed a powerful new kind of computing machine that uses light to take on ...

Boise State's Kurtis Cantley receives endowed professorship to expand microelectronics research and student mentorship ...

Tania Roy studies novel semiconductor materials and devices to advance energy-efficient computing and edge AI.

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

Moreover, Neuronova uses a fully analog pipeline that only sends information to the microcontroller unit (MCU) when necessary ...

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 ...

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.

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

International Centre for Neuromorphic Systems, The MARCS Institute, Western Sydney University, Sydney, NSW, Australia Introduction: Neuromorphic circuits operate by comparing fluctuating signals to ...