The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

We are living at a time when large language models increasingly make choices once reserved for people. From writing emails to ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

Abstract: This article introduces a highly efficient electrothermal coupling simulation method that leverages a data-driven neural network power loss model to enhance the simulation efficiency in the ...

That's an impressive accomplishment for the narrow slice of the gaming world that enjoys flight simulation software titles.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Alonso breaks down how advances in computational fluid dynamics and physics AI are enabling designers to simulate complex ...

To fully utilize the popular science value of the aforementioned high-end resources, the school has explored a construction mode for the popular science base that integrates “Resource Sharing, ...

Join the audience for a live webinar at 3 p.m. GMT/10 a.m. EST on 21 January 2026 Discover the role of impedance analysis in advancing battery-model development ...