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 ...

While some business leaders buy large language models, others build their own. Here are five things you need to know.

Discover a study validating the TRIUMPH machine learning model, which improves prediction of post-transplant recurrence in ...

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Despite the growing volume of literature, the authors argue that current research efforts fall short in one crucial respect: ...

Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this ...

The brain isn't a computer; it's a dynamic, adaptable system shaped by evolution. It's emotional, contextual, and designed for survival, rather than mere optimization or logic.

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

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 ...

Purpose: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in patients with diabetic macular edema (DME). Methods: This retrospective study included patients with ...