Science

Researchers have developed a new technique that streamlines the learning process for legged robots, enabling them to master complex movements with greater efficiency and stability.

New research presents a visuomotor policy that allows robots to effectively handle ambiguous states during long-horizon manipulation by intelligently recalling past information.

A new approach leverages artificial intelligence to translate formal specifications into easily understandable natural language, ensuring consistency and reducing ambiguity in requirement engineering.

New research reveals the key factors influencing public acceptance of self-driving taxis based on real-world usage data.

New research reveals that imposing temporal constraints on neural networks can dramatically improve their ability to generalize to unseen data.

Researchers are pushing the boundaries of robotic dexterity with a novel hand design that prioritizes low weight and high performance.

A new framework empowers robots to efficiently search for and track targets in unfamiliar environments by intelligently prioritizing information gathering.

A new framework combines the power of large language models with cognitive reasoning to dramatically improve the search for optimal algorithms and machine learning pipelines.

A new approach leverages the power of multi-agent conversation to improve an AI’s ability to tackle complex reasoning tasks.

Researchers have developed a system leveraging artificial intelligence to automatically generate preliminary radiology reports from chest X-rays, bridging the gap between machine analysis and clinical interpretation.