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 ...

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

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

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

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

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 ...

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Artificial intelligence is everywhere. In fact, each reader of this article could have multiple AI apps operating on the very ...

Brookhaven National Laboratory and collaborators have developed a new type of lidar—a laser-based remote-sensing ...