Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

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

A recent machine learning update from Apple reveals how iOS 26 brings faster, safer AI that was trained without your texts, your photos, or your permission.

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

Researchers at the University of Pittsburgh and Carnegie Mellon University collaborated to create a customized app based on ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...