Categories: AI/ML News

Integer addition algorithm could reduce energy needs of AI by 95%

A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new technique on the arXiv preprint server.

New Study Cites AI as Strategic Tool to Combat Climate Change

February 6, 2024

In "FAANG"

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.

April 16, 2025

In "AI/ML News"

Engineers develop magnetic tunnel junction–based device to make AI more energy efficient

Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.

July 27, 2024

In "AI/ML News"

AI Generated Robotic Content