Beyond Scale: Building Truly Intelligent Multi-Agent Systems
The pursuit of artificial intelligence must move beyond simply scaling up single-agent models to address the complexities of coordinated, adaptive behavior in multi-agent environments.
The pursuit of artificial intelligence must move beyond simply scaling up single-agent models to address the complexities of coordinated, adaptive behavior in multi-agent environments.

New research explores how humans perceive and react to uncertainty when physically working alongside robots, revealing predictable patterns in decision-making.

A new vision for data management explores how artificial intelligence can move beyond automation to independently build, operate, and utilize the entire data lifecycle.

New research shows robots can accurately gauge human comfort levels during social interaction by analyzing subtle cues in a user’s gaze.

Researchers are using sparse autoencoders to dissect the knowledge embedded within chemistry language models, uncovering a structured understanding of chemical principles.
New research explores how robotic pets are being used to foster connections between older adults and their families, potentially alleviating loneliness and improving well-being.

A new system leverages artificial intelligence to dramatically speed up urban research and unlock deeper insights into how cities function.

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.