Science

Researchers are applying the mathematical tools of topology to analyze artistic style, offering a quantitative way to distinguish artists, movements, and even identify AI-generated forgeries.

Researchers have developed an AI agent capable of participating in multi-user conversations with a level of human-like nuance that challenges participants to distinguish it from a real person.

As generative artificial intelligence models become increasingly prevalent, understanding and mitigating their environmental impact is critical.

Researchers have developed an AI agent capable of seamlessly participating in and facilitating multi-user online conversations, blurring the lines between human and artificial interaction.

As generative AI models become increasingly powerful, their environmental impact-particularly during the operational inference phase-demands urgent attention.

This research details a new approach to robot path planning that intelligently adapts to complex tasks and user-defined priorities when perfect solutions aren’t possible.

New research explores how the underlying geometric structure of language reveals more about text complexity than traditional predictive methods alone.

This research introduces a new path planning algorithm that allows robots to intelligently navigate complex tasks while accommodating user-defined priorities when perfect solutions aren’t possible.

New research reveals how the intrinsic dimensionality of language can offer a deeper understanding of text complexity, going beyond traditional predictive metrics.

A new survey reveals how social scientists are approaching generative AI, finding limited current use but widespread ethical and practical concerns.