Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

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

A team of researchers from the Heidelberg Institute for Theoretical Studies (HITS) and the Max Planck Institute for Polymer ...

Blood glucose monitoring is crucial for controlling diabetes. However, traditional fingertip pricking methods usually cause discomfort to patients and cannot achieve continuous monitoring. To overcome ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

These steps often stall machine learning projects between experimentation and production because of a lack of engineering resources or the complexity of debugging pipelines.

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...

Hardware Graphics Cards AMD just gave us our first glimpse of FSR 4's 'Redstone' update, with a host of machine learning-based improvements News By Andy Edser published 21 May 2025 ...