By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

The global electronics manufacturing industry is undergoing rapid transformation. The increasing complexity of devices, shrinking component sizes, and the rise ...