Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
JD Supra

The Elusion Illusion and the AI Revolution

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

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 ...
The Globe and Mail

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

AVENTURA, Fla., June 02, 2026 (GLOBE NEWSWIRE) -- Safe Pro Group Inc. (Nasdaq: SPAI) (“Safe Pro” or the “Company”), a developer of artificial intelligence (AI)-enabled defense, security, and ...
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 ...
techwyse.com

Social Media Algorithms 2026 — Threads, Facebook, X, TikTok and Instagram Algorithm Updates

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...