Science

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.

A new framework analyzes international financial risk not through traditional deficit metrics, but by mapping the network of balance of payments and assessing its inherent stability.

New research shows artificial intelligence is surprisingly adept at forecasting the success of startup ventures, challenging traditional methods of strategic foresight.