Four-legged robots that scramble up stairs, stride over rubble, and stream inspection data — no preorder, no lab coat required.

This project aims to use fundamental Artificial Intelligence and Machine Learning techniques to model real-world temperature data, addressing critical issues in industry and sustainable development.

This study presents valuable findings implicating nuclear export in the regulation of protein condensate behaviour and TDP-43 phase behaviour, suggesting a link to pathogenic aggregation in ALS/FTD.

Protein activity can be precisely regulated via subtle changes in temperature using heat-sensitive switches. Underlying this ...

This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...

Different regions of the United States are experiencing different patterns of warming climate, requiring region-specific adaptation, according to a study published in PLOS Climate by María Dolores ...

Traveling in cold weather conditions can be life threatening. The information provided here is designed for educational use only and is not a substitute for specific training or experience. Princeton ...

[BPS.space] takes model rocketry seriously, and their rockets tend to get bigger and bigger. If there’s one thing that comes with the territory in DIY rocketry, it’s the constant need to solve new ...

The news you need to know today — and the stories that will stick with you tomorrow. Plus, special series and behind-the-scenes extras from Here & Now hosts Robin Young and Scott Tong with help from ...

An AI system designed to work directly with weather data has demonstrated a new ability to answer scientific questions by combining numerical forecasting models with natural language reasoning. The ...