In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

Generative AI tools stunned researchers by building accurate preterm birth prediction models far faster than human teams — sometimes even outperforming them. The breakthrough suggests AI could ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

UNSW researchers have developed a thermal-aware tracking algorithm that reduces solar module temperatures and UV exposure during inverter clipping and curtailment, slowing degradation without lowering ...

February 12, 2026 - PRESSADVANTAGE - As Google continues to refine its search algorithms, the landscape of search ...

Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.