Safe Pro Group Inc.: Safe Pro Awarded U.S. Air Force SBIR Contract for AI Dataset Development for Use in Airfield Operations

Safe Pro Group Inc. (Nasdaq: SPAI) ("Safe Pro" or the "Company"), a developer of artificial intelligence (AI)-enabled defense, security, and situational ...

New method separates brain signals to show how complex actions are organized

A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...

Safe Pro Awarded U.S. Air Force SBIR Contract for AI Dataset Development for Use in Airfield Operations

Safe Pro Group Inc. (Nasdaq: SPAI) (“Safe Pro” or the “Company”), a developer of artificial intelligence (AI)-enabled defense, security, and situational awareness solutions, today announced that it ...
Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Huisheng Liu Examines Multi-Cloud MLOps as a Path to More Reliable Commercial AI Services

A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and cross-cloud failover. By ...
IEEE

Representation Then Augmentation: Wide Graph Clustering Network with Multi-Order Filter Fusion and Double-Level Contrastive Learning

Abstract: Deep graph contrastive clustering has attracted widespread attentions due to its self-supervised representation learning paradigm and superior clustering performance. Although, two ...
Science Daily

Something was pumping enormous energy into a young galaxy cluster

Scientists have detected a surprisingly hot galaxy cluster dating back to the universe’s infancy. The cluster formed far earlier and burned far hotter than current models predict. Researchers believe ...
IEEE

Learning to Discriminate While Contrasting: Combating False Negative Pairs With Coupled Contrastive Learning for Incomplete Multi-View Clustering

Abstract: The task of incomplete multi-view clustering (IMvC) aims to partition multi-view data with a lack of completeness into different clusters. The incompleteness can be typically categorized ...