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.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

Qwen Image Edit 2511 — Coming next week

submitted by /u/Queasy-Carrot-7314 [link] [comments]

20 hours ago

BERT Models and Its Variants

This article is divided into two parts; they are: • Architecture and Training of BERT…

20 hours ago

Lean4: How the theorem prover works and why it’s the new competitive edge in AI

Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued…

21 hours ago

13 Best MagSafe Power Banks for iPhones (2025), Tested and Reviewed

Keep your iPhone or Qi2 Android phone topped up with one of these WIRED-tested Qi2…

21 hours ago

I love Qwen

It is far more likely that a woman underwater is wearing at least a bikini…

2 days ago

100% Unemployment is Inevitable*

TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward…

2 days ago