Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Ceramic's Supervised Generation augments LLM outputs with search grounding, citations and confidence signals -- bringing verifiable, trustworthy AI to enterprise applications. -- NVIDIA Nemotron 3 ...

An algorithm that finds lost civilizations is helping archaeologists use AI to predict where ancient sites may still be hidden.

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree in Artificial Intelligence beginning in Fall 2026. As AI rapidly ...

Researchers have developed a new way to recognize human emotions by combining fiber-based physiological signals with thermal images of the face. The portable emotional recognition system could ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

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 ...

Abstract: Power converters are integral to modern power systems and industrial applications, facilitating efficient and reliable energy transfer between sources and loads. However, their widespread ...