Science

A new review of the evidence reveals that the quality of code generated by artificial intelligence is far from guaranteed, and depends heavily on how humans interact with the technology.

Researchers have developed a novel framework that leverages interaction-aware modeling and reinforcement learning to significantly improve the accuracy and reliability of predicting where people will move in complex environments.

A new framework uses natural language to automatically create computational imaging systems, opening doors to customizable and optimized image capture.

A new system combines advanced humanoid robots with real-time perception and reasoning to autonomously monitor and respond to hazards in industrial facilities.

Researchers have developed a framework for identifying causal relationships from complex, interdependent data, paving the way for deeper insights in fields like genomics.

New research demonstrates a coordinated navigation and printing system for mobile additive manufacturing robots, enabling continuous fabrication even over challenging terrain.

A new approach leverages causal inference to pinpoint the key design parameters that truly impact analog circuit behavior.

New research reveals that even advanced artificial intelligence systems struggle with the nuances of effective communication, hindering their ability to collaborate on complex tasks.

Researchers are increasingly leveraging artificial intelligence to accelerate discovery, but a systematic approach to integrating AI into the research process is often lacking.

A new system dramatically reduces the need for real-world data collection by generating large, realistic datasets for training robots to manipulate deformable objects like cloth and rope.