Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

(CN) - A machine learning simulation process developed by researchers from the University of Illinois could make galaxy modeling more efficient and offer astronomers an opportunity to derive new ...

Physics-based simulations, that staple of traditional HPC, may be evolving toward an emerging, AI-based technique that could radically accelerate simulation runs while cutting costs. Called “surrogate ...

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence ...

Reallusion has long been at the forefront of digital content and application development for industrial simulations and machine learning, focusing on the creation of highly realistic digital humans ...

In this fireside chat from ISC 2018, Dr. Eng Lim Goh from HPE describes the latest trends in Machine Learning, Simulation, and AI. AI can amplify human capabilities and turn exponentially growing data ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.

Researchers at the Max Planck Institute for Polymer Research have upended assumptions about how water behaves when squeezed into atom-scale spaces. By applying spectroscopic tools together with the ...

Machine-learning (ML) technology is radically changing how robots work and dramatically extending their capabilities. The latest crop of ML technologies is still in its infancy, but it looks like ...