Science

A new framework leverages diffusion models and intelligent search to design novel compounds with enhanced properties and targeted activity.

New research reveals a method for rigorously evaluating whether large language models’ causal statements align with underlying causal relationships.

Researchers have developed a novel artificial intelligence framework that accelerates the discovery of stable materials with precisely targeted properties.

A novel approach to constructing superintegrable mechanical systems leverages the interplay between planar potentials and rigid body rotation.

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.