Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Personalization isn’t just a nice-to-have; it’s expected. Users want apps and websites that understand them, adapt in real ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for sustainable energy applications.

In machine learning, the computer looks at data and creates patterns to help it understand the world. It predicts how things will act in the future, and then make decisions based on those predictions.

His model, published Saturday in Nature Communications, could automate design processes by leveraging machine learning and collaborative robotics. Similar to water-based gels, but instead made using ...

A technical paper titled “Application of Machine Learning in FPGA EDA Tool Development” was published by researchers at the University of Texas Dallas. Abstract: “With the recent advances in hardware ...

To solve these issues, Chen’s team combined robotics, machine-learning algorithms, and material science expertise to enable aerogel design with programmable mechanical and electrical ...