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.

And with such practice, honing this hidden sense may even become a superpower for humans. If people can pick up temperature from sound without realizing it, intentional training could enhance that ...

Many people who don’t believe one conspiracy theory about that station—known as the High-frequency Active Auroral Research ...

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

An AI agent called Zephyrus converts plain-language questions into code to analyze real weather datasets and forecast models ...

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 - ...

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 ...