Science

Researchers have developed a new memory model inspired by the human brain to enable robots to reliably perform complex, sequential tasks.

The rise of powerful language models is reshaping the landscape of forensic linguistics, demanding new approaches to authorship analysis and the detection of AI-generated content.

Researchers have developed a remotely operated, wire-driven mobile robot, REWW-ARM, designed for efficient locomotion and operation in challenging and inaccessible locations.

New research shows surprisingly capable small language models can efficiently screen biomedical literature for crucial insights, offering a cost-effective alternative to larger AI systems.

New data from the Perplexity AI agent, Comet, provides a first look at how people are actually using this emerging technology to automate tasks and augment their abilities.

A new agentic framework empowers artificial intelligence to autonomously design and execute complex simulations, accelerating research in materials science.

A new motion representation framework empowers legged robots to mimic complex movements with unprecedented speed and adaptability.

New research identifies the key ways students actively shape their learning experiences when using artificial intelligence tools.

Researchers have developed a novel framework that allows robotic agents to learn complex manipulation tasks from a single video demonstration, bridging the gap between visual perception and skilled action.

This review explores how modern system identification techniques are moving beyond pure prediction to prioritize control-relevant properties like stability and physical plausibility.