US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Overview: AI-powered credit scoring uses advanced data analysis and machine learning to assess borrower risk more accurately than traditional models.Modern loan ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Overview:  YouTube uses AI to analyze user behavior, predicting content viewers are most likely to enjoy next.Collaborative ...

The brain responds to incoming odours by adjusting sniffing, and those adjustments in turn influence how much of the odour ...