Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

Scientists at Pompeu Fabra University (UPF) have made a great leap forward in predicting the risk of hip fracture among women ...

Earth system models offer insight into how climate change will affect communities. But residents of those communities are ...

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...

High-performance computing is now essential to research that saves lives, strengthens communities and fuels economic growth.

Instead of a single, massive LLM, Nvidia's new 'orchestration' paradigm uses a small model to intelligently delegate tasks to a team of tools and specialized models.

AI takes centre stage at an EMBO workshop exploring emerging trends, collaborative opportunities, and recent advances in computational structural ...

Scientists studying thousands of rats discovered that gut bacteria are shaped by both personal genetics and the genetics of ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...