Science

As data science projects become increasingly complex, traditional risk management approaches fall short, overlooking critical ethical and societal considerations.

A new framework, GraphMatch, combines the power of natural language processing with graph neural networks to significantly improve recommendations in fast-moving, two-sided digital marketplaces.

A novel framework uses artificial intelligence to reconcile on-chain data with issuer reports, providing a more comprehensive view of stablecoin credibility.

As artificial intelligence moves beyond isolated tools and into interconnected networks, a new landscape of systemic risks emerges, demanding a fresh approach to safety and governance.

New research harnesses the power of advanced artificial intelligence to create near-real-time global flood maps with unprecedented accuracy and speed.

A new framework leverages large language models to extract and track key events from financial news, improving the accuracy of stock price forecasting.

New research suggests that tracking a company’s adoption of artificial intelligence can significantly improve the accuracy of early warnings for financial distress.

A new framework leverages blockchain and explainable AI to assess creditworthiness and unlock financial access for underserved communities.

A new deep learning framework rapidly assesses building damage using before-and-after satellite images, offering critical insights for faster disaster response.

New research exposes critical security flaws in GPT-based AI agents, demonstrating vulnerabilities that extend beyond simple prompt manipulation.