Leveraging simulations and machine learning reduces the need for costly lab experiments, saving time and speeding up the discovery of new treatments." His approach combines physics-based models ...

The rapid growth of machine learning and AI techniques has augmented engineers’ ability to model complex phenomena. We study physics-based machine learning using multi-modal data from simulations, ...

Quantum computers have the potential of outperforming classical computers in some optimization and data processing tasks. However, quantum systems are also more sensitive to noise and thus prone to ...

MARVEL scientists at the Paul Scherrer Institute, EPFL and the University of Zurich have used a machine learning model to calculate the screening parameters for Koopmans functionals, a promising ...

One day, we could use this before a hurricane, where it provides an additional visualization layer for the public.' ...

Westlake University in China and the California Institute of Technology have designed a protein-based system inside ... It's easy to think that machine learning is a completely digital phenomenon ...

GenCast, a new AI model from Google DeepMind, is accurate enough to compete with traditional weather forecasting. It managed to outperform a leading forecast model when tested on data from 2019, ...

The latest weather forecasting AI model from Google DeepMind can beat the leading providers more than 97 per cent of the time, and it is quicker and cheaper to run ...

Aqemia, a French startup that’s meshing “quantum-inspired physics” with machine learning to find new drugs, has raised $38 million in a fresh round of funding led by San Francisco-based VC ...