Science

Researchers have developed a modular, deformable surface that enables adaptable and distributed grasping of multiple objects with a surprisingly low number of actuators.

A new data-driven approach defines the operational limits for artificial intelligence systems crucial to safety-critical applications.

Researchers have developed a new agent-based model capable of replicating urban mobility patterns across diverse American cities using a unified parameter set.

New research reveals that the way AI planning problems are modeled dramatically affects energy consumption, raising concerns about the environmental impact of increasingly complex algorithms.

A new algorithm allows multi-robot systems to maintain complex formations and coordinated movements by focusing control on the swarm’s center of gravity.

Researchers have developed a novel model that reasons about user behavior chains to provide transparent and insightful recommendations.

Researchers now have access to a comprehensive resource for understanding how mental effort impacts human performance when working alongside robots in industrial settings.

A new approach combines the power of large language models with explainable AI to create better, more robust algorithms automatically.

A new framework harnesses the power of advanced artificial intelligence to create dynamic and personalized learning experiences for students.

A new study reveals that pretraining language models on abstract procedural data significantly improves their ability to tackle complex tasks and learn more efficiently.