Skip to main content
Holiday Sale — Get 40% off Vantage for yourself or as a gift
Get Started
SubscribeLogin
Published • loading... • Updated

Brain-Inspired Algorithms Could Dramatically Cut AI Energy Use

Researchers propose brain-inspired spiking neural networks and compute-in-memory architecture to reduce AI energy use and address memory bottlenecks, with AI models growing 5,000-fold recently.

Summary by Cnet
A new study dives into a major redesign for AI architecture.

3 Articles

cnetcnet
Center

Brain-Inspired Algorithms Could Dramatically Cut AI Energy Use

A new study dives into a major redesign for AI architecture.

·New York, United States
Read Full Article
TechXploreTechXplore
Center

How brain-inspired algorithms could drive down AI energy costs

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology outline practical approaches to overcome the limitations of modern computing hardware.

Read Full Article
FrontiersFrontiers

How breaking the ‘memory wall’ using brain-inspired algorithms could help overcome AI energy costs

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers.

·Switzerland
Read Full Article
Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/yearSubscribe

Bias Distribution

  • 100% of the sources are Center
100% Center

Factuality Info Icon

To view factuality data please Upgrade to Premium

Ownership

Info Icon

To view ownership data please Upgrade to Vantage

Frontiers broke the news in Switzerland on Tuesday, December 16, 2025.
Too Big Arrow Icon
Sources are mostly out of (0)

Similar News Topics

Artificial Intelligence icon

Artificial Intelligence

Technology icon

Technology

Big Tech and Platforms icon

Big Tech and Platforms

News
Feed Dots Icon
For You
Search Icon
SearchBlindspot LogoBlindspotLocal