It’s a chance for them to explore something entirely of their own choosing, and really do that independent learning...” ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

Dr. Cong Wang, one of the lead researchers, states, “Our findings are a significant step forward in improving remote sensing accuracy. By understanding the nuances of how soil moisture and type affect ...

Basecamp Research’s new trillion-gene project highlights a key divide: while AI training data is increasingly contested, ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

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 ...

Finding the right information at the right time is critical for solving complex problems. Researchers have developed an algorithm that helps individuals locate needed information more efficiently by ...

I n a certain, strange way, generative AI peaked with OpenAI’s GPT-2 seven years ago. Little known to anyone outside of tech circles, GPT-2 excelled at producing unexpected answ ...

The odds of a perfect bracket are 1 in 9.2 quintillion — but one math professor thinks he's cracked the code for March ...

Scientists worldwide respond to the publication of the three-volume monograph “Quantum Model of the Universe” #Physics ...

Translational bioinformatics lies at the intersection of computational biology, multi-omics, and clinical data science, offering a powerful toolkit for ...