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 ...

Upstart's (UPST) shares have had a rough couple of months since last summer, diving from over $80 down to the $30 range today. I last covered the company about 1.5 years ago after a positive earnings ...

Mobile robots must continuously estimate their position to navigate autonomously. However, satellite-based navigation systems are not always reliable: signals may degrade near buildings or become ...

A physics informed machine learning model predicts thermal conductivity from infrared images in milliseconds, enabling fast, ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

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 ...

As AI models migrate from secure data centers to exposed edge devices, a new threat vector has emerged: model theft. Popat identified this vulnerability early, pioneering a novel defense mechanism ...

Digital romance has become the norm. According to the Pew Research Center, roughly 23% to 30% of U.S. adults currently use or ...

Academics claim that personality traits inferred using AI photo analysis can predict how depicted individuals will fare in ...

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...