IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Unite.AI

Chatbots Push ‘AI’ Careers and Stocks More Than Humans Do

AI chatbots, including commercial market leaders such as ChatGPT, Google Gemini, and Claude, dispense advice that heavily ...
IEEE

Can Uncertainty Quantification Benefit From Label Embeddings? A Case Study on Local Climate Zone Classification

Abstract: Modern deep learning models have achieved superior performance in almost all fields of remote sensing. An often neglected aspect of these models is the quantification and evaluation of ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...