Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...

Abstract: This article investigates the optimal distributed formation control for heterogeneous air–ground vehicle systems using a data-efficient, off-policy reinforcement learning algorithm.

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 ...

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...

Earth observation (EO) constellations capture huge volumes of high-resolution imagery every day, but most of it never reaches the ground in time for model training. Downlink bandwidth is the main ...

How a strong Portrait of a Graduate can set the foundation for prioritizing student-centered learning district-wide. A Portrait of a Graduate or learner profile is more than a statement of beliefs. It ...

MLX enables efficient implementation of tensor parallelism *(TP)* through its implementation of distributed layers. In this example we will explore what these layers are and create a small inference ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

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 ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...