Decoding Financial Crime: How Tech is Reshaping Regulation
A new wave of regulatory technology is moving beyond simple compliance to proactively detect and prevent money laundering and terrorist financing.
A new wave of regulatory technology is moving beyond simple compliance to proactively detect and prevent money laundering and terrorist financing.

New research suggests that online discussions surrounding artificial intelligence can serve as a surprisingly accurate leading indicator of changes in employment trends.

New research shows artificial intelligence can proactively identify safety risks in construction by analyzing both images and textual reports.
A new framework uses geometric principles and rigorous testing to identify key zones where financial markets are likely to reverse course.
Researchers are leveraging agent-based models and machine learning to forecast disease spread within interconnected networks of wireless sensors.

A new study challenges the assumption that powerful foundation models automatically translate to improved performance in financial risk assessment.
Understanding the complex network of components and actors behind artificial intelligence is becoming crucial for safe and reliable deployment in critical systems.

A new framework leverages federated learning and interpretable neural networks to bolster resilience in power transmission networks.

Researchers have developed a new framework that combines machine learning with large language models to improve predictions of patient outcomes and inform more effective, affordable care.

Researchers have developed a deep learning framework, IonCast, to improve the accuracy of global ionospheric forecasting and enhance our understanding of space weather events.