Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback disputes were still managed manual ...

Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Zapier reports that deterministic AI ensures consistent outcomes in workflows by embedding AI within structured rules, enhancing reliability while leveraging AI's interpretative strength.

Q4 2025 Earnings Call March 4, 2026 4:30 PM ESTCompany ParticipantsDavid Deuchler - Managing DirectorOguzhan Atay - ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

AI is becoming a standard investing tool, as it helps cut through the noise, personalize portfolios and manage risk. That ...

Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...

Background Gut microbiota dysbiosis is linked to autism spectrum disorder (ASD) in children. However, the role of bacterial ...

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

Objectives Studies on ageing trajectories typically foreground intrinsic capacities and focus on frailty and mortality outcomes. Instead, research capturing aspects of people’s living environment ...