Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

A new AI “wrapper” helps detect uncertainty in pathology models, improving accuracy, fairness, and safety in cancer ...

Loan origination is being rebuilt around AI. I'm the founder of SecureLend, one of the five platforms compared below — you should know that going in. The old LOS was a system of record: applications, ...

US Government Directive Compels Anthropic to Shut Down Two Advanced AI Models On June 12, 2026, Anthropic announced that the US government had ...

Spiking neural networks (SNNs) are artificial intelligence (AI) models inspired by how biological neurons communicate with ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

BrainChip Holdings Ltd. , the first commercial producer of neuromorphic artificial intelligence technology, today announced the Akida Communication Reference Platform, a physical development platform ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the limits of their training data and can become ...

Artificial intelligence-powered software testing and quality assurance platform Momentic Inc. today announced a major update ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the ...

A patent-pending innovation created and validated in Purdue University's College of Engineering could strengthen ...