Unpacking how recent progress in scaling active inference is already demonstrating real improvements for distributed control ...

In 2016, an AI program he developed at Google DeepMind, AlphaGo, taught itself to play the famously difficult game of Go with ...

When a sepsis-prediction algorithm flags a patient in a busy emergency department, the physician staring at the alert has ...

The Blackwell architecture is the latest design for NVIDIA’s AI chips. It’s built to be much faster and more efficient than ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

This writer used homebrew econometrics to advocate for a housing proposal in Pentagon City. Others with data analysis acumen ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...

Amazon can steer market-wide prices without ever colluding—exposing a gap in antitrust law that the FTC is now fighting to ...

Foundational to the work on quantum error correction (QEC) are logical qubits, which are created by entangling multiple ...