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

"The cosmic dipole anomaly has thus established itself as a major challenge to the standard cosmological model, even if the ...

Answering this disconnect between a batter’s expectations and their observations of where a pitch would and did cross the ...

Runway debuts a physics-aware world model that simulates reality to train agents and power video, robotics, and avatar applications.

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...

As competition in streaming grows, you need more than great content to succeed—you need insights. Data analytics gives you a ...

This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...

Building on a foundation of image understanding artificial intelligence models, the Allen Institute for AI today introduced ...

LEOMs like open-source Clay automate detailed Earth mapping, enabling rapid analysis for research, government, business.

One proposed way of examining if such a force could exist is by closely monitoring asteroid trajectories, and few near-Earth ...