Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

Assessing VHR optical satellites for cetacean monitoring, this study highlights environmental challenges and seasonal ...

An Advanced AI Approach for Accurate Giant Panda Behavior Detection and Conservation Insights,” published in the journal Animals, researchers develop an AI-driven framework capable of accurately ...

Climate science sits at one of the most charged intersections of human knowledge and human politics. Almost everyone has an opinion about it, yet very few people have taken the time to carefully ...

Abstract: Brain-computer interfaces (BCIs) integrated with robotic systems has inspired some insights into various neurorobotic applications, including but not limited to exoskeleton-assisted gait, ...

By scanning brains while people actively took intelligence tests, neuroscientists discovered that high test scores are linked ...

Functional connectivity reveals brain attractors that match predictions of free‑energy‑minimizing attractor theory, yielding an interpretable generative model of brain dynamics in rest, task, and ...

This Research Topic is part of a series of article collections published within Frontiers in Water including: - Emerging Directions in Socio-Hydrology: ...

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...

Grassroots Carbon today announced the launch of GroundOwl, a new soil carbon measurement technology developed in partnership with EarthOptics, which will be exclusively deployed by Grassroots Carbon ...

Chinese scientists have uncovered the drivers of divergent climate changes across Asia over the past 130,000 years, making ...