Banco Santander (NYSE: SAN) has released more than a dozen of its internal AI initiatives on GitHub under a permissive ...

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

Seattle-based Overland AI won a Marine Corps contract to produce more than a dozen autonomous ground vehicles, which the ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...

Abstract: Federated learning (FL) allows multiple clients to collaboratively learn a globally shared model through cycles of model aggregation and local model training, without the need to share data.

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...

Machine learning (ML) models now influence decisions that were once reserved solely for human judgement: credit approvals, hiring outcomes, insurance pricing, and loan default predictions. When these ...

Combining various data sources and other types of information is becoming increasingly important in various types of analyses. Certain classes of Bayesian hierarchical models have shown to be ...

Find out more about undergraduate study at the School of Electronic Engineering and Computer Science.

This viewpoint explores the mathematical foundations of DTs, including differential equations for health trajectory modeling, Bayesian networks for multiomics integration, Markov models for disease ...