Science

Researchers have developed a framework that combines forensic reasoning with advanced AI to more accurately identify images created by artificial intelligence.

A novel framework allows teams of robots to efficiently assess risk and make informed decisions in uncertain environments with limited data.

A new framework, Embedded Universal Predictive Intelligence, offers a pathway for artificial agents to not only anticipate their environment but also model the intentions of others.

New research demonstrates a system allowing humanoid robots to dynamically adjust their behavior based on visual and linguistic understanding of their surroundings.

A new legal study reveals that global regulations are struggling to keep pace with the rapid deployment of artificial intelligence within critical telecommunications infrastructure.

Researchers have developed a novel data augmentation technique that trains robots to perform reliably even in cluttered and visually complex environments.

New research reveals surprisingly quantum-like statistical patterns in the behavior of large language models, suggesting a fundamental link between human and artificial intelligence.

A new framework distills core action concepts from visual data and language, paving the way for more adaptable and transferable robotic systems.

As research increasingly relies on large, collaborative teams, traditional systems for recognizing individual contributions are facing unprecedented challenges.

New research demonstrates a framework for refining robotic manipulation skills, moving beyond simply completing tasks to achieving elegant and efficient movements.