Artificial intelligence is no longer simply helping cybercriminals work faster—it is increasingly becoming an active ...
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 ...
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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 ...
Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...
Forrester says the 2026 extended detection and response (XDR) Wave research report differs significantly from prior evaluations. Identity and cloud are now explicit XDR detection surfaces. Forrester ...
Cursor AI model training reaches a new milestone: a 1.5-trillion-parameter system pre-trained from scratch on xAI’s Colossus ...
When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Abstract: Federated Learning (FL) has emerged as a promising framework to address data privacy concerns associated with mobile devices, in contrast to conventional Machine Learning (ML). However, ...
Thun / Spiez, 11.06.2026 — The Empa spin-off Swiss Cluster has received the Swiss Economic Award 2026 in the “Industry/Production” category. The young company ...
Exploring Machine Learning Algorithms for Malicious Node Detection Using Cluster-Based Trust Entropy
Abstract: Machine learning has, over the decades, ushered in a dramatic transformation across a range of sectors, including network security. Security experts agree that the potential of machine ...
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