Science

New research reveals the inner workings of molecular transformers, demonstrating their ability to learn interpretable rules for generating valid chemical structures.

This review details the architecture and implementation of ARTEMIS, a humanoid robot system that recently secured a championship win at RoboCup 2024 through advanced integration of perception, planning, and control.

New research reveals that our reactions to artificial intelligence are deeply shaped by how we perceive its capacity for autonomy and sentience.

Researchers have developed a new framework that allows robots to learn complex manipulation tasks simply by watching human demonstrations, without the need for painstakingly labeled training data.

New research explores how generative AI, designed as subtle collaborators with distinct personalities, can reshape group learning dynamics and improve knowledge construction.

A new framework harnesses the power of large language models to simultaneously optimize both problem-solving algorithms and the prompts that guide them, leading to enhanced performance on challenging optimization tasks.

A new human-AI workflow is accelerating rigorous theorem proving, offering a powerful boost to mathematical research and opening doors to previously intractable problems.

Researchers have developed a new approach to modeling complex physical systems, enabling more robust planning and control for robots operating in challenging environments.

A new study reveals that the method used to retrieve information within Azure AI Search dramatically affects the quality of AI-powered responses.

Integrating artificial intelligence with computer-aided design is transforming how we plan and build essential water and power systems, particularly in challenging environments.