Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...

This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...

Abstract: The increasing integration of solar photovoltaic (PV) systems into modern energy grids presents significant challenges due to the intermittent and weather-dependent nature of solar energy ...

AI-driven interventions reduce the odds of hospitalization within 7 days by 8% in patients with end-stage kidney disease receiving hemodialysis, according to a recent study.

Dr. Tao Ye, an assistant professor in the Department of Civil, Environmental, and Ocean Engineering, received a CAREER award from the National Science Foundation (NSF) for his research on using AI to ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

The most advanced neobanks are now implementing architectures that aggregate real-time activity to generate weekly ...

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...