Science

New research shows that carefully structuring robot learning datasets with analogous movement patterns dramatically improves a robot’s ability to transfer skills between different bodies.

A new open-source toolkit streamlines the process of extracting material properties from spectral data, making advanced analysis accessible to a wider range of researchers.

Researchers have developed a new framework to generate vast datasets for training humanoid robots to move effectively through cluttered spaces, leveraging the power of virtual reality and procedural generation.

Researchers have developed an artificial intelligence system that autonomously discovers and refines its own image analysis techniques, promising more adaptable and accurate clinical decision support.

New research reveals that effective AI development isn’t just about building smart algorithms, but about fostering sustained human oversight throughout the entire process.

New research shows that combining human judgment with AI-powered candidate screening leads to more equitable hiring processes, though subtle biases persist.

A new control framework leverages artificial intelligence to enable more fluid and effective collaboration between humans and robots during upper-limb rehabilitation.

A new study leverages machine learning and explainable AI to dissect the complex gene expression changes in Multiple Sclerosis, integrating data across multiple tissues and cell types.

Researchers have developed a novel control strategy enabling more precise and reliable task execution for underactuated soft robotic systems.

A new dataset reveals how people react to medical robot errors and what recovery strategies they prefer, paving the way for more intuitive and trustworthy robotic assistants.