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 ...
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 ...
As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...
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 ...
If you walk down the street shouting out the names of every object you see — garbage truck! bicyclist! sycamore tree! — most people would not conclude you are smart. But if you go through an obstacle ...
AZoSensors on MSN
Photonic crystal fiber shows promise for tuberculosis screening
Terahertz photonic crystal fiber sensors, powered by machine learning, could transform tuberculosis detection with rapid and ...
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 ...
The Department of Chemistry and Materials Science is looking for: ...
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