Science

A new framework shifts the focus from simply verifying AI’s output to assessing its ability to collaborate effectively with human developers.

Researchers have developed a system that allows humanoid robots to learn coordinated manipulation skills through demonstration and a novel ‘Choice Policy’ framework.

A new study examines how artificial intelligence coding agents approach the critical, but often overlooked, issue of energy efficiency in software development.

Researchers are exploring how social robots, equipped with vehicle-to-everything communication, can bridge the gap between autonomous and human drivers to improve traffic flow and safety.

A new era of software creation is upon us, driven by artificial intelligence and demanding a rethink of how we teach and practice computer science.

New research explores how combining autonomous and remote operation impacts user acceptance of mobile robots designed for everyday tasks.

A new theoretical framework proposes that current AI development is overly focused on model calibration, neglecting the crucial architectural foundations needed for truly scalable and resilient systems.

New research maps the computational boundaries of even the simplest multi-robot systems, revealing how much can be achieved through teamwork.

New research shows that traditional probabilistic modeling techniques, like Bayesian Networks, are surprisingly capable of handling complex causal questions, including those involving interventions and counterfactual reasoning.

New research explores how explainable artificial intelligence can optimize robotic manipulation by improving obstacle avoidance and providing insights into the reasoning behind a robot’s movements.