Science

A new data-driven method enables reliable localization for heterogeneous robot swarms even with limited connectivity and challenging measurement conditions.

Researchers have developed a powerful machine learning framework that accurately predicts Alzheimer’s disease while revealing the key clinical factors driving its progression.

A new case study details a privacy-preserving video analytics system that extracts valuable behavioral data from pose-based representations, offering a powerful alternative to traditional surveillance methods.

A new framework evaluates whether artificial intelligence can realistically simulate the challenging questioning of US Supreme Court oral arguments.

Researchers have developed a new perception and control system that allows humanoid robots to manipulate objects reliably in expansive environments, overcoming the limitations of traditional vision-based approaches.

Researchers are leveraging conversational AI to gain unprecedented insight into how students grapple with fundamental physics concepts.

As artificial intelligence gains more autonomy, traditional frameworks for human collaboration must evolve to address the unique challenges of aligning with agents capable of independent action.

Researchers have developed a robotic system that combines intelligent perception with shared autonomy, allowing it to handle complex tasks with increased robustness and adaptability.

New research demonstrates how large language models can guide teams of robots to autonomously explore environments more efficiently than traditional methods.

Researchers are applying the principles of medical diagnosis to understand, troubleshoot, and improve the performance of artificial intelligence models.