While many advocate that oversight of AI analyses of lab data be handled through CLIA, some stakeholders say that FDA should play a role.

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep Learning. Open Journal of Applied Sciences, 16, 779-797. doi: 10.4236/ojapps.2026.163048 .

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Choosing a Tinder profile picture may feel like a free, personal and creative act. But how true is that? A new study from the Universitat Oberta de Catalunya (UOC) shows that, far from being unique, ...

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, ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...

Algorithms are involved in decisions ranging from trivial to significant, but people often express distrust toward them. Research suggests that educational efforts to explain how algorithms work may ...