Forecasts powered by machine learning are proving to be faster and cheaper to produce than with conventional methods - and ...

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, ...

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 ...

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 ...

It's easy to think that machine learning is ... The algorithm is based on an approach called backpropagation, which has been used to enable learning in both digital and optical systems.

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

On October 8, U of T Computer Science Professor Emeritus Geoffrey Hinton was sitting in a cheap hotel room in California when ...

An international team of scientists has used machine learning to help them develop perovskite solar ... transporting material that resulted in the construction of perovskite-based solar cells with ...

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 ...