Science

A new AI system automates the process of identifying meaningful health indicators from the constant stream of data generated by wearable sensors.

A new framework combines human expertise with the power of large language models to dramatically accelerate systematic literature reviews in finance.

A new multi-agent system autonomously generates and combines computational tools, dramatically improving the efficiency and accuracy of solving complex scientific problems.

Researchers have developed a new framework that allows humanoid robots to dynamically transition between complex movements with improved reliability and stability.

Surrogate models combined with Explainable AI are emerging as a powerful solution for understanding and trusting the results of computationally intensive simulations.

A new vision-based framework provides quantifiable safety guarantees for human-robot collaboration by accounting for uncertainty in motion prediction.

Researchers have developed an intelligent agent capable of autonomously designing, building, and deploying high-performing machine learning models.

New research shows that bipedal robots can achieve remarkably efficient and robust locomotion by leveraging natural body mechanics and reinforcement learning algorithms.

The rise of sophisticated AI isn’t just automating tasks – it’s enabling the replication and sharing of human expertise, fundamentally changing how scientific research is conducted.

New research details a self-optimizing edge computing architecture that dynamically balances workloads for responsive and efficient collaboration between humans and robots.