Tech Xplore on MSN

Photonic chips advance real-time learning in spiking neural systems

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...

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 ...
WJFW

Innatera Selects Synopsys Simulation to Scale Brain-Inspired Processors for Edge Devices

Innatera adopts Synopsys simulation technology to help design neuromorphic chips that enable low-power AI for wearables, ...
Nanowerk

Photonic chips enable real time learning in spiking neural networks

A two-chip photonic neuromorphic system performs real time spiking reinforcement learning using only light, achieving GPU-class energy efficiency.
Electronic Design

Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...
Interesting Engineering on MSN

New light-based photonic chips enable robotic learning without electronic computation

Researchers have built new photonic computing chips that allow neural networks to learn using ...
Semiconductor Engineering

SpiNNaker2 Neuromorphic Platform: HW-Aware Fine-Tuning of Spiking Q-Networks (TU Dresden Et Al.)

A new technical paper titled “Hardware-Aware Fine-Tuning of Spiking Q-Networks on the SpiNNaker2 Neuromorphic Platform” was published by researchers at TU Dresden, ScaDS.AI and Centre for Tactile ...
Ars Technica

Researchers get spiking neural behavior out of a pair of transistors

The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...
Semiconductor Engineering

Hypergraph-based Techniques To Map Spiking Neural Networks on Neuromorphic HW (Politecnico di Milano)

A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by researchers at Politecnico di Milano. “Executing Spiking Neural Networks (SNNs) on ...
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, ...