AI & ML Research 24 Hours

Last updated: August 24, 2026, 2:33 AM ET

AI & ML Research

Survival Analysis and the Cox Proportional Hazards Model: A Beginner-Friendly Guide introduces the Cox model for understanding time-to-event data, explaining how hazard ratios quantify risk factors over time with Python implementations. The guide walks through Kaplan-Meier estimation and proportional hazards assumptions for practical machine learning applications.

Parse the Folder, Not Just the PDFs: The Relational Tables RAG Needs on a Case File explores how relational table extraction improves retrieval-augmented generation by indexing case structures before document processing, enabling more accurate enterprise document intelligence workflows.

Bug Detection Blind Spots in AI Coding Harnesses (GStack and Beyond) reveals that 28 debugging experiments show AI coding agents struggle more with missing contextual information than complex logic, exposing critical gaps in current AI-assisted development frameworks.