Safe Pro Awarded New $1.3 Million U.S. Government Subcontract to Integrate Real-Time AI Landmine Detection into Unmanned Ground Vehicles

Under the award from a leading U.S. Defense Prime Contractor, Forterra, Safe Pro will integrate and test its proprietary advanced computer vision and machine learning AI pipeline onboard autonomous ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
emjreviews.com

Editor’s Pick: Recent Advances in Understanding the Endophenotypes of Osteoarthritis

Osteoarthritis, like many other common diseases, is not a single disease entity but has several different endotypes, which differ by pathophysiologic pathway, cytokine pattern, and mechanism of ...

UPDATE: Safe Pro Awarded U.S. Army Order For AI-Powered Threat Analysis Kit Together with Red Cat Black Widow Drones

Detailed price information for Red Cat Holdings Inc (RCAT-Q) from The Globe and Mail including charting and trades.
BizTech

What Are the Benefits of Unsupervised Machine Learning and Clustering?

Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Frontiers

A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
Frontiers

Uncovering distinct clinical phenotypes in disseminated intravascular coagulation through machine learning-enabled cluster analysis

Disseminated intravascular coagulation (DIC) is a critical condition encountered in the intensive care unit (ICU), characterized by multiple etiologies and variable outcomes. Distinguishing between ...
Phys.org

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...