Categories: AI/ML News

Machine-learning models help discover a material for film capacitors with record-breaking performance

The Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) and several collaborating institutions have successfully demonstrated a machine-learning technique to accelerate the discovery of materials for film capacitors—crucial components in electrification and renewable energy technologies. The technique was used to screen a library of nearly 50,000 chemical structures to identify a compound with record-breaking performance.

Intelligent photodetectors ‘sniff and seek’ like retriever dogs to recognize materials directly from light spectra

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type of intelligent image sensor that can perform machine-learning inference during the act of photodetection itself.

November 29, 2025

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A simpler method for learning to control a robot

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.

July 28, 2023

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Efficient technique improves machine-learning models’ reliability

Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it's critical that humans know when to trust a model's predictions.

February 14, 2023

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AI Generated Robotic Content