World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Overview: Agentic AI systems are rapidly becoming the foundation of modern automation, enabling software to plan tasks, make decisions, and interact with tools ...

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...

Some school districts, including ones in Maine, New Mexico, Iowa and Oregon, are shifting to standards-based grading, where ...

Adult learning theory is a manual for classroom diplomacy, not a map of the mind. Walk into any corporate leadership retreat or faculty development workshop, and you will encounter a familiar set of ...

This valuable computational study presents a conceptually simple and biologically plausible reinforcement-learning framework for motor learning based on policy-gradient methods. The evidence ...

Temporary teams can build new systems, but permanent ones can both develop them and manage them after launch. by Ryan Nelson and Thomas H. Davenport In 2011, The New York Times was facing declines in ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...