This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Jian Jiang's team at the Institute of Chemistry, Chinese Academy of Sciences, recently published an article that focuses on the core bottlenecks of ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Artificial intelligence and machine learning are transforming biomedical research, including in image analysis, drug ...

CU Anschutz researcher Michael A. David, PhD, is turning to a subset of AI to enhance the field of orthopedics and helping others do the same.

HFpEF in hypertrophic cardiomyopathy predicts adverse outcomes. Discover how machine learning improves risk assessment.

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...