Agents Learn to Count, But Struggle to Generalize

New research reveals how artificial agents develop numerical communication through interaction, showcasing both impressive precision and inherent limitations in scaling to unseen numbers.

New research reveals how artificial agents develop numerical communication through interaction, showcasing both impressive precision and inherent limitations in scaling to unseen numbers.

Researchers have developed a human-in-the-loop system that allows robots to intelligently request assistance when they encounter difficulties, improving task reliability and reducing human workload.
As AI systems gain autonomy, a new approach to security is needed to ensure reliable and trustworthy operation.

New research demonstrates how robots can learn to anticipate the consequences of their actions using advanced video prediction, enabling more complex and reliable manipulation tasks.

Researchers are leveraging the power of artificial intelligence to automatically discover fundamental equations governing complex physical phenomena.

New research leverages advanced AI to help robots understand and navigate complex environments with people, going beyond simple obstacle avoidance.

New research explores how AI-powered tools can foster deeper critical thinking in decision-making, moving beyond simple reliance on automated outputs.

A new framework allows robots to refine their skills in a simulated environment, dramatically improving performance on complex physical tasks.
As artificial intelligence rapidly evolves, the field of astrophysics must grapple with its potential benefits and risks to ensure continued scientific progress.

A new wave of artificial intelligence systems is moving beyond simple question-and-answer interactions to proactively pursue complex goals.