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.

Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and ...

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

Many people who don’t believe one conspiracy theory about that station—known as the High-frequency Active Auroral Research Program, or HAARP—believe another. A common misconception is that it can ...

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 ...

Researchers hope to expand the tool to other areas, including climate science Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and ...

🤖 AI Agent Tools - Integrate NotebookLM into Claude Code or other LLM agents. Ships with Claude Code skills for natural language automation (notebooklm skill install), or build your own integrations ...