With the release of ChatGPT, what had long been science fiction became a reality, leaving healthcare wondering where medicine meets machine. This week, Stanford Medicine and Stanford Institute for ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...

Nvidia also believes that future progress of AI will be fueled by contributions in the open-source community. In an interview ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

Stanford Health Care is stepping up its partnership with startup Atropos Health to integrate real-world evidence into physicians' workflow and clinical notes. The pilot project builds on the two ...

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...

A hybrid system combining artificial intelligence with live human specialists was able to more effective diagnose pneumonia from chest X-rays than a previously validated automatic diagnostic algorithm ...

(Nanowerk Spotlight) Soft materials such as polymers, rubbers, and hydrogels play a significant role in your everyday life. From your car's tires to the elastic in your favorite loungewear, from ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Material science, at its core, is an interdisciplinary field focusing on the discovery and ...