From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Meta AI has released LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects. Built on the ...

Humanity’s latest, greatest invention is stalling right out of the gate. Machine learning projects have the potential to help us navigate our most significant risks — including wildfires, climate ...

This as-told-to essay is based on a conversation with Suvendu Mohanty, a 37-year-old machine learning engineer at Amazon. It's been edited for length and clarity. I got my Master's in Computer Science ...

At the world’s largest artificial-intelligence conference, known as NeurIPS, Weichen Huang almost blended in. Last month in Vancouver, he was one of numerous researchers explaining their ...

Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you're looking for a job that pays six figures, is always ...

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. Machine learning technology ...

Every day, thousands of marines perform routine data-collection tasks and make hundreds of data-based decisions. They compile manning data on whiteboards to decide to staff units, screenshot weather ...

The Machine Learning for High School Teachers (ML4HST) is a 4 day long professional development workshop hosted at the University of Wyoming campus that trains 8 – 12th grade teachers on how to ...