InfoQ

Enhancing Reliability Using Service-Level Prioritized Load Shedding at Netflix

The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized load shedding embedded in their Envoy sidecar proxy, allowing user-initiated ...

The next AI arms race isn't about models. It's about context

Ask an AI model to analyse a photograph and it might tell you it contains a person standing under a tree near the ocean on a ...
Security Boulevard

Cut your coding agent’s cost with Sonar Vortex

New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
IEEE

Graph-based Deep Reinforcement Learning Approach for UAV Multi-Warehouse Delivery Problem

Abstract: With the rapid development of Unmanned Aerial Vehicle (UAV) technology, its application in logistics and distribution has become increasing widespread. Efficient task planning to minimize ...
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

Solve Large-Scale Unit Commitment Problems by Physics-Informed Graph Learning

Abstract: Unit commitment (UC) problems are typically formulated as mixed-integer programs (MIP) and solved by the branch-and-bound (B&B) scheme. The recent advances in graph neural networks (GNN) ...
InfoQ

AWS Replaces Fat-Tree Data Center Networks with Random Graph Theory, Cutting Routers by 69%

Mathematicians proved in the early 1990s that randomly connecting routers produces the most efficient, resilient network topology. It took AWS roughly 30 years to turn that result into production ...