EDN

How AI is driving a new paradigm in test distribution

The future of semiconductor test may depend as much on data movement and workflow intelligence as on the tester hardware ...
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 ...
GitHub

TensorFlow Probability

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...
IEEE

Quantum Federated Learning: A Comprehensive Survey

Abstract: Quantum federated learning (QFL) is a combination of distributed quantum computing and federated machine learning, integrating the strengths of both to enable privacy-preserving ...
IEEE

Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods

Abstract: Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose significant threats to networked systems, causing disruptions that can lead to substantial financial ...
GitHub

APPFL - Advanced Privacy-Preserving Federated Learning Framework.

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...