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"

The advantages and disadvantages of renewable energy

New developments in renewable energy are making headlines and inspiring hope in communities worldwide, from a remote Arctic village working to harness solar and wind power under challenging conditions to a U.S. Air Force base planning an advanced, utility-scale geothermal power system. As much of the world grapples with mitigating…

March 19, 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"

AI Generated Robotic Content