Robots are trained for specific tasks, such as cutting, using simulation. However, collecting real-world data is expensive, ...
Researchers at Aston University have developed a new AI-based robot training approach aimed at reducing the long-standing ...
An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has introduced CGSchNet, a machine-learned coarse-grained (CG) model that can ...
Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...
Researchers have developed an AI training method that enables robots to transfer skills learned in simulation into real-world ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to detect sudden changes in fluid behavior, improving speed and the cost of ...
Despite the huge technological interest in boron nitride (BN), understanding the relative stability of its different structural phases remains a challenge owing to conflicting results from experiments ...
Surface water and groundwater form an interconnected hydrological system, where pollutant migration—especially that of emerging pollutants (e.g., PFAS, ...
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