Categories: AI/ML News

Programmable photonic chip uses light to accelerate AI training and cut energy use

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough that could dramatically speed up AI training, reduce energy use and even pave the way for fully light-powered computers.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

3 Actionable AI Recommendations for Businesses in 2026

TL;DR In 2026, the businesses that win with AI will do three things differently: redesign…

9 hours ago

Revolutionizing Construction

How Cavanagh and Palantir Are Building Construction’s OS for the 21st CenturyEditor’s Note: This blog post…

1 day ago

Building a voice-driven AWS assistant with Amazon Nova Sonic

As cloud infrastructure becomes increasingly complex, the need for intuitive and efficient management interfaces has…

1 day ago

Cloud CISO Perspectives: Our 2026 Cybersecurity Forecast report

Welcome to the first Cloud CISO Perspectives for December 2025. Today, Francis deSouza, COO and…

1 day ago

As AI Grows More Complex, Model Builders Rely on NVIDIA

Unveiling what it describes as the most capable model series yet for professional knowledge work,…

1 day ago