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 ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

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 ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Machine learning (ML) incites both anticipation and anxiety, but by learning to join forces with ML and developing a method for training and usage, humans and ML can form a symbiotic co-working ...

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 ...

Overview The best AI engineer courses 2026 focus on building real, job-ready projects.Combining AI engineering basics with LLM engineering leads to stronger car ...

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 ...

Explore a programming languages list with top coding languages explained, their uses, job prospects, and how to choose the ...

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 ...