The next chapter for trading algorithms: Insight over access

How are leading firms redefining their competitive advantage in electronic fixed income trading? Explore the next frontier ...

New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
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 ...
IEEE

A Survey of Machine Learning Applications to Handover Management in 5G and Beyond

Abstract: Handover (HO) is one of the key aspects of next-generation (NG) cellular communication networks that need to be properly managed since it poses multiple threats to quality-of-service (QoS) ...
IEEE

Statistical Learning Theory for Control: A Finite-Sample Perspective

Abstract: Learning algorithms have become an integral component to modern engineering solutions. Examples range from self-driving cars and recommender systems to finance and even critical ...
GitHub

LogAI: A Library for Log Analytics and Intelligence

LogAI is a one-stop open source library for log analytics and intelligence. LogAI supports various log analytics and log intelligence tasks such as log summarization, log clustering, log anomaly ...