The Hidden PHI Problem in Medical Images: Building a Synthetic Dataset for AI De-Identification
Lakshmi Mahabaleshwara |
In this article, you'll learn how my team built a synthetic PHI generation pipeline to create privacy-safe training and validation data for medical imaging AI. The Problem Imagine you’re building an A... read more
Pure Headless vs. Hybrid Headless CMS: Choosing the Right Architecture for Enterprise Content Management
Manish Shivanandhan |
Enterprise organisations are under constant pressure to deliver content across websites, mobile applications, customer portals, digital kiosks, smart devices, and emerging digital channels. Customers... read more
How to Build an AI-Powered, Local-First Chrome Extension That Turns Your Browsing History into an Intent Map
Shola Jegede |
Your browser remembers every page you've ever opened, but it has no idea why you opened any of them. You might spend three days comparing laptops across a dozen tabs, get distracted, come back a week... read more
How to Build an Offline AI Image Generator in Node.js with QVAC and Socket.io
Djibril-M🍀 |
A few years ago, the first day I finally got access to an AI image generator, I was so excited that I immediately sat down and wrote an article about it (using Node.js and OpenAI's DALL-E). The magic... read more
How Wearables Track the Menstrual Cycle: The Sensors, the Algorithms, and the Accuracy Gap
Shradha Puri |
Your Garmin shows poor recovery, WHOOP paints your day red, your resting heart rate is high, your HRV is low, and the app recommends that you rest. But here’s the thing: you don’t actually feel bad. F... read more
How to Analyze Analyst Estimate Ranges with Python
Nikhil Adithyan |
Most financial models use analyst consensus as a single forward-looking input: revenue estimate, EPS estimate, EBITDA estimate, or some version of a forward margin assumption. That works, but it flatt... read more
How to Handle Small Context Window Limits in RAG Systems
Sviatoslav Barbutsa |
Retrieval-augmented generation, or RAG, is a pattern where an application retrieves relevant source material and adds it to a model prompt so the model can answer from that context. A larger context w... read more
How to Avoid Overusing useCallback and useMemo in React
Olaleye Blessing |
If you've spent enough time in the React ecosystem, you'll have likely seen codebases where nearly every function is wrapped with useCallback and the computed value is wrapped with useMemo. The reason... read more
How to Build a Production Architecture for Small Language Model Fleets
Tejas Ashok |
Lately, there's been more focus on creating specialized Small Language Models (SLMs) for high-throughput, real-time applications. But we seem to be at an impasse: we excel at fine-tuning these models,... read more
How to Schedule Jobs in PostgreSQL with pg_cron
iyiola |
Every backend system eventually needs something to run on a schedule. Old sessions need deleting, summary tables need rebuilding, materialized views need refreshing, and maintenance tasks need to happ... read more