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

LLM Evaluation Frameworks Compared: How to Actually Measure What Your Model Does

In this article, you will learn how to evaluate LLM applications using the three dominant…

24 mins ago

Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants

Proactive agents that anticipate user needs and autonomously execute tasks hold great promise as digital…

25 mins ago

Multi-agent social intelligence with Strands Agents and Amazon Bedrock

Your prospects leave trails across multiple sources: a founder asks “What should I use for…

25 mins ago

Google named a Leader in the 2026 IDC MarketScape for Worldwide Foundation Model Software

For years, we’ve built with a clear priority: putting the practical needs of the enterprise…

25 mins ago

The UK Is Planning a Social Media Curfew for 16- and 17-Year-Olds

The restrictions, which can be turned off, will include a crackdown on “addictive” app features…

1 hour ago

Alan Turing’s biggest AI assumption may have been wrong

A new book claims AI has been built on a flawed assumption dating back to…

1 hour ago