The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
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 ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates 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 ...
As quantum computing edges closer to reality, banks are racing to overhaul the cryptographic foundations that keep digital ...
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 ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
When your arm moves inside a loose shirt, the fabric does not simply follow along. It ripples, folds, and shifts in ways that ...
"An AI system can be technically safe yet deeply untrustworthy. This distinction matters because satisfying benchmarks is necessary but insufficient for trust." ...