Science

A new pretraining technique empowers biological sequence models to reason through predictions and correct their own errors, significantly improving performance.

Researchers have developed a novel AI system that uses map data to follow vehicles even when they move out of view of individual security cameras.

A new framework leverages the power of multi-agent systems to enable large language models to improve their reasoning abilities by engaging in structured, persona-driven debates.

Researchers have developed a reinforcement learning system that allows a lightweight aerial robot to precisely control its movements and interact with the environment.

Researchers have developed a new hierarchical model that significantly improves the speed and precision of table recognition in documents.

Researchers have developed a reinforcement learning system that allows a lightweight aerial robot to precisely control an attached manipulator and perform complex tasks like payload delivery and object manipulation.

Researchers have developed a novel table recognition model that dramatically improves both speed and accuracy in document analysis.

A new mechanism allows AI agents to drastically reduce response times by intelligently leveraging and reusing previously generated plans.

A new framework, DAO-Agent, leverages zero-knowledge proofs to fairly measure contributions in decentralized multi-agent systems without crippling on-chain costs.

Researchers have developed a new system that uses artificial intelligence to create dynamic, responsive lectures, allowing users to ask questions and receive contextualized explanations in real-time.