How researchers are tapping into the power of artificial intelligence to propel research advances in history, sociology, and ...

Nvidia's Cosmos platform lets researchers simulate multiple different realities and simulate real-world physics to generate ...

NVIDIA's new Cosmos world foundation models can generate physics-accurate video to build up a training library, making AI ...

By grappling with the messy and unpredictable side of existence, machine learning can have impact beyond the digital.

SandboxAQ today announced a series of scientific and technical milestone publications on magnetic anomaly-based navigation (MagNav), collectively marking a set of significant advances in the company's ...

Forecasts powered by machine learning are proving to be faster and cheaper to produce than conventional methods — and more ...

With the growth of artificial intelligence (AI) and advancements in robotics and quantum computers, technology has never been ...

Theory of quantum materials engineering, combining theoretical material science, quantum many-body physics and machine learning for quantum materials. The Correlated Quantum Materials (CQM) group ...

In Physics of Fluids, by AIP Publishing ... The framework used by the team combines advanced wind simulations with machine learning to optimize individual solar panel angles under strong winds.

Sampling from complex probability distributions is important in many fields, including statistical modeling, machine learning, and physics. This involves generating representative data points from a ...

This generalization problem poses critical reliability issues in practical machine learning applications. Recent studies have uncovered interesting empirical laws describing model behaviors across ...