A common ineffective way teachers check for understanding in the classroom is by asking a variation of the question, “Does everybody get this?” If not that, then what? Today’s post will offer a number ...

Abstract: This paper develops learning-enabled safe controllers for linear systems subject to system uncertainties and bounded disturbances. Given the disturbance zonotope, the data based closed-loop ...

In his illuminating book Co-Intelligence, Ethan Mollick describes the potential for human-AI collaboration. He suggests that it will be critical for humans to remain “in the loop” when engaging with ...

Dexterous manipulation is a crucial yet highly complex challenge in humanoid robotics, demanding precise, adaptable, and sample-efficient learning methods. As humanoid robots are usually designed to ...

1. Demonstrate that scientific knowledge applies across multiple scales of size and/or time. Climate impacts, local vs global. Climate change timescales, long term (geologic timescale) to short term ...

Abstract: An important question in data-driven control is how to obtain an informative dataset. In this work, we consider the problem of effective data acquisition of an unknown linear system with ...

Yoodli, an AI-powered communication training startup, has reached a valuation of more than $300 million — more than triple its level six months ago — as it builds technology meant to assist people ...

Think about the last time you picked up a new skill. You tried something, noticed what worked, adjusted and tried again. The loop was tight. Now compare that to school. Students sit through lessons, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...