Rumman Chowdhury said even where responsible AI teams survive leadership changes, their effectiveness depends on where they sit within an organisation — a question she said is rarely discussed.| India ...

Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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 ...

Existing defect detection tools using ultrasound rely on phased array ultrasound. In this method, many transducers are pointed in the same direction to generate an image of that specific area. This ...

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 ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

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