Science

New research reveals that while artificial intelligence can generate visually-rich narratives, its approach to storytelling differs significantly from human creativity.

New research introduces a framework for multi-agent systems where collaborative strategies dynamically adapt based on agents’ beliefs and observations, leading to more realistic social simulations.

Researchers have created a new framework and dataset to automatically construct semantic reasoning maps from scientific papers, promising more transparent and reliable insights.

A new framework empowers robots to interpret natural language instructions and generate precise movement plans based on visual understanding of the environment.

A new approach to rainfall-runoff modeling combines the power of artificial intelligence with fundamental hydrological principles to deliver more accurate and interpretable predictions.

A new framework teaches self-driving cars to anticipate and coordinate with other vehicles, paving the way for smoother and safer autonomous navigation in complex traffic scenarios.

A new framework uses the power of artificial intelligence to intelligently choose the most relevant data, leading to more efficient and accurate machine learning models in complex industrial environments.

Researchers have developed a powerful new simulation framework that brings full-body musculoskeletal movement learning to life, paving the way for more realistic and adaptable embodied AI.

Researchers are replacing traditional genetic algorithms with AI agents capable of independently optimizing complex code, pushing the boundaries of automated software development.

Researchers are tackling the challenge of creating robotic systems that can consistently and reliably play complex tabletop games alongside humans.