Science

New research shows that artificial intelligence can adapt to the unpredictable timing of real-world systems by learning to anticipate and synchronize with external delays.

A new approach analyzes network service access to create robust device fingerprints, offering a more understandable alternative to deep packet inspection.

A new approach focuses on ensuring autonomous systems rely on the same core reasoning in simulation and the real world, moving past simple image comparisons.

Researchers have created a new dataset and model that combine facial expressions and eye movements to achieve more accurate emotion recognition.

This review explores a novel localization framework that combines data from ground and aerial robots for robust and accurate positioning in complex environments.

A new review details how studying pulsars can reveal the structure and properties of the interstellar and heliospheric plasmas that permeate our galaxy.

A new study explores how combining text and image retrieval can improve the accuracy of complex question answering systems in the specialized field of glycobiology.

Researchers have developed a new AI framework that learns user preferences through conversation and dynamically adjusts its recommendations for a more engaging music discovery experience.

Researchers have developed a computational framework that allows robots to adapt their physical form and plan movements for complex tasks, paving the way for more versatile and efficient automation.

A new visualization technique reveals nonlinear connections and feature importance, offering a clearer path to understanding multifaceted datasets.