Three ways AI is learning to understand the physical world

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

The Effects of Self-regulated Scaffolds and Learning Examples on Computer Programming

Abstract: The status of programming education in our country's educational system has become increasingly prominent. However, constrained by large class sizes, limited class hours, and diverse student ...
Education Week

With Larry Ferlazzo

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 ...
IEEE

Differentiable Weights-Varying Nonlinear MPC via Gradient-based Policy Learning: An Autonomous Vehicle Guidance Example

Abstract: Tuning Model Predictive Control (MPC) cost weights for multiple, competing objectives is labor-intensive. Derivative-free automated methods, such as Bayesian Optimization, reduce manual ...
SciELO

Obesity classification: a comparative study of machine learning models excluding weight and height data

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...