The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

A new OECD report says governments must improve migration forecasting to better prepare for sudden changes in migration flows driven by conflicts, economic shifts and policy changes. By using better ...

Now that we know the definitions of both terms, we can summarize that machine learning algorithms are sets of instructions that allow machines to learn data patterns with which to make predictions or ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Large language models (LLMs), artificial intelligence systems that can process and generate texts in different languages, are ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and opening new paths ...

Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?

Self-related information automatically modulates early attentional selection into awareness through mechanisms distinct from physical salience, revealing an obligatory, individualized ...