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 ...
Tech Xplore on MSN

Can thermal noise train a computer? A new framework points to low-power AI

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

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 ...
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.

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 ...
Queen's University

Neural Networks: When good enough is better than best

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, optimized data.

Interpretability in deep learning for finance: A case study for the Heston model

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Bioengineered neuronal 'circuit board' mimics conditions of the human brain

A new bioengineered neuronal circuit board "BioConNet" allows scientists to artificially engineer human brain-like wiring at scale and can be used to engineer any possible circuit. The fully ...