Science

Researchers are leveraging the power of artificial intelligence to better understand economic choices by analyzing the underlying reasoning revealed in survey responses.

New research shows that deep learning models can effectively identify galaxy mergers, even when subtle tidal features are the key indicators.

A new approach combines code history, knowledge graphs, and AI agents to pinpoint the root causes of bugs with greater accuracy.

New research dives into the ‘black box’ of deep learning models to understand why they predict lung cancer risk, going beyond simply measuring if they are correct.

A new framework efficiently coordinates smaller AI models to tackle complex tasks, challenging the prevailing trend of ever-larger language models.

A new benchmarking framework aims to transform access to AI-powered weather prediction, focusing on improving monsoon onset forecasts and enabling better climate adaptation strategies.

A new approach to observability leverages intelligent agents to dramatically accelerate issue resolution in complex e-commerce systems.

A new approach combines the efficiency of smaller AI models with the power of large language models to overcome data limitations and improve threat detection.

Generative AI adoption in the U.S. banking sector initially lowers productivity but ultimately amplifies systemic risk through interconnected algorithms and network effects.

A new framework explicitly models how disruptions like accidents impact traffic flow, leading to significantly improved predictions.