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 ...

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and ...

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

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 ...

The funding for Paris-based AMI to help it build AI 'world models' represents the largest seed round ever for a European startup and one of the region’s largest fundings for an AI startup overall, per ...

Know about the evolution of crypto trading in the age of AI automation. Learn how AI-powered bots use machine learning for 24 ...

Researchers have developed a new way to recognize human emotions by combining fiber-based physiological signals with thermal ...

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...

The specific focus of this PhD research project is on integration of non-terrestrial networks (NTN) (aka satellite communication networks) with terrestrial networks (TN) (5G/6G mobile networks). Fully ...