Science

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.

Researchers are leveraging the power of graph neural networks to deliver high-resolution, localized temperature predictions, offering a promising path towards improved early warning systems for extreme heat events.

A new analysis evaluates the risk management approaches of twelve major AI developers, revealing crucial shortcomings in anticipating and mitigating the potential dangers of advanced artificial intelligence.

A new conversational AI system is tackling the challenge of financial inclusion in India by understanding and responding to users in multiple languages, including code-mixed queries.

Researchers have developed a highly accurate stroke risk prediction model leveraging advanced machine learning techniques to identify patients most at risk.

A new study challenges the reliability of explanations generated by large language models when applied to sensitive financial data.

New research reveals that shifts in stablecoin transaction patterns can foreshadow financial market stress triggered by political uncertainty, offering a unique early warning system.