Science

A new study details how advanced seismic monitoring, powered by deep learning, provided crucial real-time insights during a period of intense volcanic unrest at Santorini, Greece.

Researchers are leveraging deep learning to accurately forecast the behavior of complex, nonlinear systems while also quantifying the inherent uncertainties in those predictions.

As artificial intelligence rapidly advances, blockchain technology offers a crucial pathway to counteract data monopolies and reshape the power dynamics of the digital world.

As cyberattacks become increasingly sophisticated, machine learning-based intrusion detection systems are facing a new wave of threats from adversarial examples.

As artificial intelligence rapidly advances, simply avoiding negative outcomes isn’t enough – proactive coordination is essential for managing potential system failures.

Researchers are exploring how deep neural networks can learn to perform statistical inference directly from simulated data, bypassing the need for complex likelihood calculations.

A new approach combines deep learning with statistical modeling to understand how defects influence the dynamic and static properties of magnetic materials.

A new framework explores how to assess and manage risks from artificial intelligence without stifling development and compliance.

Researchers have developed a machine learning model that accurately forecasts how structures will vibrate, even with limited data for training.

As large language models become integral to financial services, a robust system for identifying and quantifying potential harms is critical.