EE World Online

How do ML and AI work in power conversion? part 1

The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...
EurekAlert!

From “optical synapses” to a “photonic brain” --- integrated photonic neural networks toward low-power general-purpose

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.
Tech Xplore on MSN

Communication-aware neural networks could advance edge computing

Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles ...
Devdiscourse

From transformers to microgrids: AI expands across critical energy infrastructure

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...
Interesting Engineering on MSN

Noise-powered design uses heat for computing, can beat classical system’s power efficiency

Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...
Electronic Design

Mixing Analog and Digital Spiking Neural Networks for Low-Power Sensors

Innatera’s Pulsar blends analog and digital SNN accelerators to deliver always-on neural-network operation for low-power applications. 1. Innatera’s Pulsar system-on-chip incorporates analog and ...

AI-designed diffractive optical processors pave the way for low-power structural health monitoring

A team of researchers at the University of California, Los Angeles (UCLA) has introduced a novel framework for monitoring ...