Categories: AI/ML News

Using AI and robots to speed up optimization of new battery development

A team of researchers at Carnegie Mellon University has developed a new approach to speeding up the process of creating ever more optimized batteries. In their paper published in the journal Nature Communications, the group describes how they paired a unique type of robot with an AI learning system to create ever more useful non-aqueous liquid electrolytes.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

The PHP Meltdown Shows How AI Makes Bugs More Exploitable

Security researchers used AI tools to help uncover years-old vulnerabilities in the PHP web scripting…

13 hours ago

Wearable system captures human activity data for robot training

Humanoid robots, robotic systems with a body shape that resembles that of humans, could tackle…

13 hours ago

Speculative Decoding Explained: How to Get 3× Faster Inference from Any LLM

In this article, you will learn how speculative decoding works, why it produces real speed…

1 day ago

Beyond API Compatibility: Building a Tool to Measure the Blast Radius of Library Changes

By Roberto Perez Alcolea, Java Platform TeamQuasar connects a proposed API change with observed references in…

1 day ago

Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

Most fine-tuning teaches a model to produce a better answer to a single prompt. Agentic…

1 day ago

Revival Rugs Birthday Sale: 20 Percent Off Sitewide Through Sunday

The brand’s lovely selection of hand-knotted and handwoven wool rugs at reasonable prices make it…

2 days ago