Science

New research reveals the challenges of deploying machine learning models for human activity recognition when training data doesn’t reflect the behavioral patterns of older adults.

Researchers are harnessing the power of artificial intelligence to automatically extract structured data from the ever-growing body of scientific literature.

Researchers have developed a modular system that seamlessly integrates the power of large language models with the widely used Robot Operating System, unlocking new potential for adaptable and efficient robot behavior.

New research reveals that the ability to generalize to novel combinations of concepts relies on principles of causal modularity and minimal change, offering a pathway to more robust and creative AI systems.

A new study reveals how social bots functioned as echo chambers during Brazil’s 2018 elections, primarily boosting specific candidates and narratives rather than driving independent conversation.

A new mathematical framework reveals a surprising connection between the decision-making processes of artificial intelligence and fundamental principles of physics.

Researchers have significantly improved a robot’s ability to perform complex, long-horizon tasks by combining advanced vision-language understanding with a novel reinforcement learning technique.

New research explores how artificial intelligence can streamline the process of identifying, understanding, and resolving software bugs and maintenance issues.

A new approach uses iterative data generation to enable robots to quickly master new manipulation tasks with minimal real-world experience.

New research reveals that intentionally fostering a diversity of values among artificial intelligence agents can lead to more effective collaboration and the emergence of complex, self-governing communities.