Categories: AI/ML News

Engineers collaborate with ChatGPT4 to design brain-inspired chips

Johns Hopkins electrical and computer engineers are pioneering a new approach to creating neural network chips—neuromorphic accelerators that could power energy-efficient, real-time machine intelligence for next-generation embodied systems like autonomous vehicles and robots.

Engineers develop thin film to make AI chips faster and more energy efficient

Addressing the staggering power and energy demands of artificial intelligence, engineers at the University of Houston have developed a revolutionary new thin-film material that promises to make AI devices significantly faster while dramatically cutting energy consumption.

December 3, 2025

In "AI/ML News"

IBM’s NorthPole chip runs AI-based image recognition 22 times faster than current chips

A large team of computer scientists and engineers at IBM Research has developed a dedicated computer chip that is able to run AI-based image recognition apps 22 times as fast as chips that are currently on the market.

October 21, 2023

In "AI/ML News"