AI agents lack independent agency but can still seek multistep, extrapolated goals when prompted. Even if some of those prompts include AI-written text (which may become more of an issue in the ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

In 2026, artificial intelligence skills sit on the short list for promotions in analytics, product, and operations. Teams want people who can frame the right problem, choose workable models, and ...

I've worked with AI for decades and have a master's degree in education. Here are the top free AI courses online that I recommend - and why.

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

CAMBRIDGE, MA - Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given molecule will dissolve in an organic solvent — a key step in the ...

One of the highlights of my first three years as a literature professor at MIT—and indeed, of my 15-year career as an educator—has been the recent discovery that some of my students, past and present, ...

A new technical paper titled “Machine Intelligence on Wireless Edge Networks” was published by researchers at MIT and Duke University. “Deep neural network (DNN) inference on power-constrained edge ...

MIT graduate student Alex Kachkine once spent nine months meticulously restoring a damaged baroque Italian painting, which left him plenty of time to wonder if technology could speed things up. Last ...