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.
As artificial intelligence evolves into increasingly autonomous and interconnected systems, ensuring the safety and reliability of these agent networks is becoming paramount.
A new framework uses artificial intelligence to move beyond predicting corporate bankruptcy toward understanding the underlying causes.
A new graph-based forecasting framework leverages network structures and trend similarities to predict the spread of diseases, beliefs, and behaviors with improved accuracy and insight.
Researchers explore a new method of using large language models to poll ‘AI agents’ and understand community sentiment surrounding proposed data center projects.