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 engineers and programmers have long relied on reverse engineering as a way to copy the functionality of a computer program without copying that program’s copyright-protected code directly.

Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and answering questions in natural language, such as English, about data from ...

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 - ...

Researchers have long been puzzled by the observed cooling of the eastern tropical Pacific and the Southern Ocean accompanying global warming. Existing climate models have failed to capture this ...

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 ...

To bridge the gap between a code-driven AI model and language-based AI agent, the researchers set up an environment that allows the agents to interact with weather models and data via code. The AI ...