Science

A new system leverages AI conversations to build personalized learning paths and foster long-term knowledge retention.

Researchers are leveraging the power of large language models to enable more effective decision-making for artificial intelligence agents operating in dynamic, real-world environments.

A critical re-evaluation reveals the Turing Test wasn’t about creating convincingly human machines, but about probing the fundamental limits of computation and intelligence.

A new framework optimizes the selection and collaboration of large language models to maximize performance while dramatically reducing computational costs.

Researchers have developed a framework that moves beyond simple object matching to enable visual systems to actively reason about what they see, improving performance on challenging tasks.

A new system leverages the power of distributed learning to accurately estimate crowd size using readily available Wi-Fi signals, even with diverse data sources.

Researchers have developed a new method for compressing massive 3D foundation models, paving the way for powerful spatial AI on resource-limited devices.

Researchers have demonstrated a concerning vulnerability in robotic systems by crafting simple visual patches that reliably mislead AI models controlling them.

New research reveals that despite possessing vast knowledge, AI storytellers often perpetuate cultural misrepresentations, particularly when venturing beyond Western narratives.

Researchers have developed a novel framework that focuses on tracking specific regions of interest within videos to achieve more accurate fine-grained action recognition.