New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

Artificial intelligence is revolutionizing the way we manage renewable energy by optimizing systems for maximum efficiency, ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

According to Valuates Reports, The global market for AI in Biotechnology was valued at USD 1033 Million in the year 2024 and ...

Advanced forecasting tools are already improving solar and demand predictions by over 30%,' writes Schneider Electric's Frédéric Godemel.

A survey of over 1,000 enterprises conducted by S&P Global Market Intelligence in 2025 revealed that 42% of companies ...

Matthew Connelly, a vice dean for AI initiatives at Columbia University, has been using machine learning for 15 years. But as ...

Insulin resistance-when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels — is one of the fundamental causes of diabetes. In addition to diabetes, ...

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and more energy-efficient predictions than traditional models. Unlike existing ...

Over time, the loss of human expertise caused by AI use can impair the quality of that very AI—in the worst case, insidiously and unnoticed. This is the finding of a new study by researchers from the ...