Science

A new infrastructure aims to empower scientists by automating workflows and fostering seamless collaboration between artificial intelligence and human researchers.

New research explores how large language models can interpret data from wearable sensors to understand and categorize human actions with improved accuracy and adaptability.

Researchers have created an autonomous AI agent capable of conducting original research in theoretical and computational physics, marking a significant leap towards AI-driven scientific discovery.

A new approach combines abstract action planning with the power of large language models to help robots understand and execute complex tasks in everyday environments.

A new framework tackles the challenge of building truly efficient autonomous agents by optimizing both their reasoning and underlying system architecture.

A new framework combines knowledge graphs and large language models to unlock deeper understanding of complex manufacturing data and dramatically improve warehouse operations.

A new study reveals the growing presence of code written by artificial intelligence in modern software projects and assesses the associated security risks.

Researchers have developed a system that allows robots to better interpret human language and interact with the world around them through a novel approach to understanding object affordances.

This review explores how incorporating principles of causal inference is enabling more robust, efficient, and interpretable reinforcement learning agents.

New research introduces a framework for teaching robots reusable skills from demonstrations, paving the way for more adaptable and versatile manipulation abilities.