He Built the Definitive Epstein Database—and It Consumed His Life

The data engineer started as a casual reader of the Jeffrey Epstein files. Then he became obsessed, and built the most ...

The quiet professionalization of retail trading

The image of the lone, intuitive trader chasing quick profits is gradually giving way to something more disciplined. A ...
InfoQ

QCon London 2026: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale

Silva, both Engineers at Netflix, presented “Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale ...

AI model improves flood forecasting with higher accuracy than current methods

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...
Tech Xplore

Hybrid AI model combines graphs and transformers for real-time traffic forecasts

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...
IEEE

Leveraging Knowledge Graph and Large Language Model Synergies for Intelligent Fault Analysis in Urban Rail Transit Signaling Systems

Abstract: To address the challenges of insufficient text data utilization and low manual diagnosis efficiency in urban rail transit signaling system fault analysis, particularly the difficulty in ...
IEEE

A Weighted Preference Optimization Service Recommendation Method Based on Knowledge Graph and Large Language Model

Abstract: Knowledge graph (KG)-based service recommendation methods address issues such as data sparsity and cold start in real-world service recommendations by integrating external knowledge as ...