The modelling and simulation research team at the NRC's Automotive and Surface Transportation Research Centre is a leader in ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

A new technical paper titled “DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design” was published (preprint) by researchers at UCSB and Cadence. Abstract “Thermal issue is ...

More information: Sandro Wieser et al, Machine learned force-fields for an Ab-initio quality description of metal-organic frameworks, npj Computational Materials (2024). DOI: 10.1038/s41524-024 ...

Dan Lu, Goutam Konapala, Scott L. Painter, Shih-Chieh Kao, Sudershan Gangrade, Streamflow Simulation in Data-Scarce Basins Using Bayesian and Physics-Informed Machine Learning Models, Journal of ...

The webinar, “Design Engineers: Get the Most out of Simulation and Analysis Tools,” is slated for Sept. 11, 2024 at 2 p.m. ET, and invites attendees to experience firsthand how Dassault ...

There are also six new humanoid robot learning workflows for Project GR00T, to enable AI robot brain development, and new developer tools for video processing.

The European group made its model publicly available in June, and Google has made the code for NeuralGCM open access. It uses 80 years of ECMWF observational data and reanalysis for machine learning.