A benchmark of CognoDB reveals critical stability issues in Neo4j under concurrent client load.

Proposed FTC rules to curb personalized pricing could inadvertently harm consumers and stifle competition, experts argue.

A nine-month study reveals Google Analytics 4 frequently mislabels AI Overview traffic, impacting acquisition reporting for brands.

New method uses under-parameterized neural networks to extract fine-grained scores from limited categorical labels.

Rethinking retrieval: Treating each table row as a distinct chunk boosts RAG accuracy for structured data.

Master dimensional modeling with a deep dive into degenerate, conformed, role-playing, and slowly changing dimensions.

New research proposes Bayesian guardrails to quantify AI prediction uncertainty, advocating for human deferral when mistakes are too costly.

Part II of Benders Decomposition explains how to use infeasibility to generate powerful cuts, particularly for the capacitated facility location problem.

Inside the design choices driving TigerBeetle's extreme financial transaction processing performance.

Generative AI tools are execution engines, but human strategy is crucial to avoid 'AI Slop' and build robust systems.