A College Project That Planted a Seed Years ago I was on a university team trying to build a Go AI. We explored monte carlo simulation for lookahead search, basic neural networks for pattern recognition, and expert systems for encoding domain knowledge. None of them worked well enough on their own. Go's branching factor is enormous, so brute-force search fails quickly. Neural networks without th
If you’ve been building with AI recently, you’ve probably seen these terms everywhere: AI Gateway. And depending on where you read, they either sound like the same thing… or completely different systems. Some vendors use them interchangeably. Others define only one and ignore the rest. And if you try to piece it together yourself, you end up with a vague understanding that doesn’t really help when
Data is no longer treated as a byproduct of business operations and has become one of the most valuable organizational assets. Every interaction on a banking application, e-commerce platform, hospital system, logistics network or social media service generates data continuously. As organizations increasingly adopt digital workflows, cloud platforms, machine learning systems and real-time applicati
In modern data-driven organizations, managing and analyzing data efficiently is critical. OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing) are both integral parts of data management, but they have different functionalities. Understanding how they differ, and how they complement each other is essential for anyone working with data systems. Online Transaction Processing (
In an era where data privacy is often the price we pay for convenience, medical information remains the most sensitive frontier. When you upload a patient's transcript or a personal health log to a centralized API, you're essentially trusting a third party with your most intimate data. But what if the "brain" lived entirely within your browser? Today, we are diving deep into the world of Edge AI a
SQL is widely known for data querying and manipulation but systems do grow; data becomes larger; processes become repetitive and operations become sensitive. SQL has some features which enables it to be considered a fully fledged programming language. Some of the features which I discuss in this article are procedures, functions and transactions. Each of these concepts serve distinct purposes. Sto
Self-attention already helps a transformer understand relationships between words using Query, Key, and Value. But there’s a problem. One attention mechanism usually ends up focusing on a limited kind of relationship at a time. Language doesn’t work like that. A sentence can have structure, meaning, and long-range links all at once. That’s why transformers use multi-head attention. Instead of doin
I keep seeing the same argument about AI making us dumber. It's the same argument people had about search engines, and before that books. The usual response is to point at history and say "every generation panics, every generation was wrong, relax." I think that response is half right, and the wrong half is what bothers me. Tools change what we bother to remember. The people who'd trained their wh