Explore how machine learning enhances energy monitoring in smart homes with CEO Mike Phillips from Sense. This interview ...

A research team led by Columbia University has developed an open-source framework designed to streamline and accelerate ...

People are exposed to thousands of chemicals every day—through the products they use, the food they eat and the environments they live in—but only a fraction of those chemicals have been fully tested ...

Depression is a highly common mental health condition that affects millions of people worldwide. Medical professionals have ...

This week’s Top 10 looks at the applications of machine learning in the energy sector, spotlighting those leading the way ...

A report in the Journal of Medical Internet Research shows developments in the evidence gap in drug safety during pregnancy ...

Machine-learning iMAP coaching track achieves a 55% depression remission rate by personalizing lifestyle targets.

Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates ...