Science

A new analysis consolidates hundreds of risk mitigation strategies to provide a clearer understanding of how to build and deploy artificial intelligence responsibly.

A new approach combines the power of large language models with historical data to significantly improve fraud detection in complex financial transactions.

Combining traditional stochastic volatility models with the power of long short-term memory networks offers a significant leap forward in predicting fluctuations in financial markets.

This research explores the potential of dynamic Bayesian networks to improve the accuracy of expected shortfall calculations, a key metric for modern risk management.

A new analysis reveals the systemic environmental risks posed by artificial intelligence, extending far beyond direct energy consumption.

A new deep learning system leverages the power of Transformer networks and optical flow to automatically identify traffic accidents as they happen.

Researchers have developed a novel foundation model, Brain-Semantoks, capable of learning abstract representations of brain activity and offering unprecedented insights into the complex patterns of neural processing.

New research demonstrates that intelligently applied AI support can significantly improve outcomes for at-risk undergraduate students.

New infrastructure unlocks comprehensive analysis of the Aave protocol across multiple blockchains, providing a clearer view into the world of decentralized lending.

New research explores how individuals are leveraging AI chatbots like ChatGPT to tackle long-term life planning, and where these tools fall short.