Beyond Prediction: Unifying Machine Learning and Statistical Modeling
A new framework integrates the strengths of both machine learning and statistical modeling to deliver more accurate and interpretable data analysis.
A new framework integrates the strengths of both machine learning and statistical modeling to deliver more accurate and interpretable data analysis.

Researchers demonstrate a system allowing a wheelchair to autonomously track a human leader using sensor fusion and learning.
A new protocol uses artificial intelligence to systematically verify the accuracy of academic citations, promising to streamline research quality control.

A new system aims to streamline software development and deployment for robotics and AI, tackling long-standing reproducibility issues.

New methods are emerging to map relationships between variables and build more robust, interpretable AI for healthcare.

New research enables safer, more intuitive manipulation for soft robots by predicting potential collisions and force limits in real time.

A new AI framework leverages medical knowledge and image analysis to improve the detection of difficult-to-diagnose neurological conditions.

This research presents a framework enabling robots to learn complex manipulation skills by retrieving and applying knowledge from human demonstration videos.

Moving beyond prediction, a new approach to city planning leverages AI agents that can justify their decisions and collaborate effectively.

A new framework enables robots and humans to learn from each other, building a shared understanding for more effective teamwork.