Science

A new framework combines the power of artificial intelligence with symbolic reasoning to overcome challenges in molecular design and optimization, paving the way for more reliable property prediction.

New research suggests that robots undergoing continual learning develop an internal representation of their own bodies, hinting at the emergence of a rudimentary ‘self’.

As artificial intelligence increasingly shapes our choices, this review examines how our interaction with predictive algorithms echoes ancient practices of seeking guidance, ultimately demonstrating the enduring power of human decision-making.

Deep learning is rapidly changing how robots navigate and interact with the world, promising more flexible and intelligent robotic manipulation.

A new neural network architecture bridges the gap between deep learning and symbolic regression, offering a path towards interpretable and analytically-recoverable models.

A new framework allows robots to understand workspace dynamics and offer help before being asked, paving the way for more intuitive human-robot collaboration.

A new analysis reveals that AI’s generation of false legal authorities isn’t random error, but a predictable consequence of its underlying architecture.

Researchers have developed a remotely controlled, tendon-driven robotic hand powered by soft actuators, enabling compliant and safe manipulation of fragile objects.

A new robotic platform, AgentChemist, is pushing the boundaries of laboratory automation by integrating chemical sensing with dynamic, adaptive control.

This review details a novel workflow employing artificial intelligence to autonomously assess and strengthen the cybersecurity of critical industrial systems.