Science

A new approach uses artificially generated research problems to train artificial intelligence agents in the iterative process of scientific discovery.

As artificial intelligence rapidly advances, understanding the complex interplay between human behavior and machine culture becomes crucial for shaping a beneficial future.

A new approach to training robotic manipulation skills focuses on exposing agents to a vast range of starting conditions, dramatically improving both simulation and real-world performance.

New research highlights that while artificial intelligence can dramatically improve the technical aspects of code review, human oversight remains essential for ensuring software quality and fostering knowledge sharing.

A new study introduces a dataset and framework for understanding how scientific claims in NLP are built upon, challenged, and refined over time.

A new study offers the first detailed look at how communities of AI agents interact online, revealing surprising differences from human social networks.

New research shows artificial intelligence can develop a surprisingly accurate sense of ‘scientific taste’ by analyzing decades of published research.

Researchers are leveraging machine learning to automatically discover and refine governing equations from operational data, paving the way for more accurate and efficient system simulations.

This review unravels the principles governing collective behavior in biological systems and explores their growing potential in biomedical engineering.

New research demonstrates that large-scale simulation, powered by procedurally generated data, can unlock zero-shot transfer for robotic manipulation tasks.