Science

New research explores how artificial intelligence can automatically recreate and repair computational analyses in the social sciences, addressing a critical challenge to scientific validity.

Researchers have developed a reinforcement learning system that allows a humanoid robot to master the complex motor skills required for playing badminton, bridging the gap between simulation and real-world performance.

This review examines how advanced artificial intelligence is poised to reshape toxicologic pathology and accelerate the development of safer therapeutics.

New research explores how social robots can be thoughtfully integrated into classrooms to foster students’ understanding and appreciation of different cultures.

A new framework intelligently searches for mathematical equations governing scientific phenomena, leveraging the power of modern hardware.

Researchers have unveiled a powerful agentic framework capable of independently conducting complex scientific investigations and achieving state-of-the-art results.

New research suggests that interacting with robots exhibiting lifelike, biomimetic haptic feedback – such as breathing and heartbeat – can effectively support human emotion regulation.

A new system leverages vision, tactile feedback, and inertial measurements to accurately interpret human actions in real-time, enabling safer and more effective human-robot interaction.

A new perspective on machine intelligence proposes that emulating the core processes of life – from self-assembly to continuous adaptation – is the key to creating truly robust and scalable AI systems.

A new optimization technique leverages the collective behavior of particle swarms to dramatically improve trajectory planning and achieve global optimality in robotic systems.