From ‘Optical Synapses’ to a ‘Photonic Brain’ — Integrated Photonic Neural Networks Toward Low-Power General-Purpose

SHANNON, CLARE, IRELAND, February 5, 2026 /EINPresswire.com/ -- A new publication from Opto-Electronic Technology; DOI ...
EurekAlert!

Low-power memristor for neuromorphic computing: From materials to applications

This review describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...
techtimes

Neuromorphic Chips and 'Brain‑Like' Computing: How Next‑Gen Chips May Change Phones, Robots, and IoT Devices

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...
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Turning spin loss into energy: New principle could enable ultra-low power devices

A research team has developed a device principle that can utilize "spin loss," which was previously thought of as a simple loss, as a new power source for magnetic control. Subscribe to our newsletter ...
Science Daily

Scientists turn spin loss into energy, unlocking ultra-low-power AI chips

Scientists have discovered that electron spin loss, long considered waste, can instead drive magnetization switching in spintronic devices, boosting efficiency by up to three times. The scalable, ...
Business Wire

The Global Market for Low Power/High Efficiency AI Semiconductors, 2026-2036 - Neuromorphic Computing and In-Memory Architectures Pave the Way for AI Semiconductor Market ...

DUBLIN--(BUSINESS WIRE)--The "The Global Market for Low Power/High Efficiency AI Semiconductors 2026-2036" has been added to ResearchAndMarkets.com's offering. The market for low power/high efficiency ...
EurekAlert!

Breakthrough in low-power neuromorphic computing: novel 2D phase-transition memristor achieves ultrafast and energy-efficient switching

The demand for high-performance, energy-efficient computing hardware is growing rapidly, particularly in fields such as artificial intelligence and neuromorphic computing. Researchers have now ...
Nanowerk

Harnessing spin loss as energy for ultra low power next generation devices

Scientists transform wasted spin loss into usable energy, powering a new principle for magnetic control and next-gen ultra-low power devices. Spintronics is a technology that utilizes the "spin" ...
EDN

Development kit yields low-power computer

The SheevaPlug development platform is based on a Marvell Kirkwood processor and 1.2-GHz Sheeva CPU. The Plug Computing kit is equipped with 512 Mbytes of flash and 512 Mbytes of DRAM, and it has a ...