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

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

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

Robotaxis are now live in the US, China, and beyond. See where you can ride a self-driving taxi and how services like Tesla ...

Agentic AI systems are revolutionizing how organizations approach complex workflows, introducing autonomous agents capable of multi-step reasoning, decision-making, and task execution that operate ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

These steps often stall machine learning projects between experimentation and production because of a lack of engineering resources or the complexity of debugging pipelines.

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes.

Building a PC for AI or machine learning is very different from making your own gaming machine. Here are some top tips so you won't go wrong.