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 ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
As quantum computing edges closer to reality, banks are racing to overhaul the cryptographic foundations that keep digital ...
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 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 ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.
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." ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results