Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

The Google DeepMind team participated in last year's IMO competition using an AI composed of the AlphaProof and AlphaGeometry ...

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 ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

This review summarizes recent advances in wind speed forecasting using artificial intelligence. It systematically analyzes ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

In this valuable study, the authors provide a simple yet elegant approach to identifying therapeutic targets that synergize to prevent therapeutic resistance in ovarian cancer using cell lines, ...

Leaders should rethink learning strategies, embed computational thinking into decision frameworks and redesign leadership ...