Welcome back to What Did We Learn. With the return of the baseball season, my weekly article, a two-year-long tradition on other sites now, begins, where at the end of every weekend, I release my ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

If there is one point of consensus among the CES 2026 keynote speakers, it is that AI is reshaping technology with a speed and scale unlike any previous technological revolution. In a live taping on ...

Theo Baker is truly an outlier. While journalism as a major has seen shrinking enrollment for years and is even being dropped by some schools entirely, Baker, a senior at Stanford University, has ...

The students at America's elite universities are supposed to be the smartest, most promising young people in the country. And yet, shocking percentages of them are claiming academic accommodations ...

Ashutosh Saxena M.S. ’06 Ph.D. ’09 built his career proving that robots can learn. From conducting early artificial intelligence (AI) research at Stanford to founding companies, Saxena now builds ...

With the open-source Dataverse SDK for Python (announced in Public Preview at Microsoft Ignite 2025), you can fully harness the power of Dataverse business data. This toolkit enables advanced ...

Learning Python is a smart move these days. It’s used everywhere, from making websites to crunching numbers. The good news? You don’t need to spend a fortune to get started. There are tons of great, ...

The growing use of generative AI in the workplace raises a paradox for entry-level workers. The very tasks that once trained new workers—such as summarizing meetings, cleaning data, and drafting memos ...