PhysicsX

Polaron is the first-ever winner of the Manchester Prize. Launched in 2023, the first year of the Manchester Prize called upon the innovators, academics, entrepreneurs and disruptors in the U.K. to enter AI solutions that would deliver public good, receiving nearly 300 entries.

Transfer1, a groundbreaking AI model that generates photorealistic simulations for training robots and autonomous vehicles by bridging the gap between virtual and real-world environments.

In a groundbreaking series of announcements at its GTC conference, NVIDIA on Tuesday unveiled a portfolio of AI-driven technologies, including Isaac GR00T N1— the world's first open, fully customizable foundation model for humanoid reasoning and skills.

PPH researchers apply cutting-edge AI and computational models to massive datasets to develop a deep understanding of the factors that shape health and illness.

The use of artificial intelligence (AI) scares many people as neural networks, modeled after the human brain, are so complex that even experts do not understand them. However, the risk to society of applying opaque algorithms varies depending on the application.

The transition from traditional automation to physical AI has been decades in the making. Early industrial robots from the 1960s performed repetitive tasks with minimal sensing capabilities. The 2000s saw the introduction of basic autonomous systems like the Roomba vacuum,

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning-based approach that significantly accelerates the computation of a nonlinear Fokker-Planck-Landau (FPL) collision operator for fusion plasma.

Abstract The nonlinear collision operator consumes a significant amount of computation time in tokamak whole-volume modeling, and in current numerical