Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

FedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting ...

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

AI has really landed a heavy shot on some of the software names, especially the SaaS (Software as a Service) companies that ...

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...

In this retrospective cohort analysis, researchers aimed to identify key predictors of trial enrollment among cancer patients.

Infection with the pathogenic yeast fungus Candida auris (C. auris) can wreak havoc on the health of hospital patients and ...

Only about one in five people with cancer enroll in clinical trials, and the largest barrier to participation may be far ...