One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Tevogen (“Tevogen Bio Holdings Inc.” or “Company”) (Nasdaq: TVGN) announced today that the International Bureau of the World ...

IIT Bombay has introduced a six-month programme in supply chain analytics using AI and ML. It is aimed at working professionals across logistics, procurement, inventory, operations and data analytics, ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

What began as a PhD project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, researcher Jan van Rijn is ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...