The conceptual foundation of OpenML dates all the way back to 2013 when a college boy in Physics major was reading and implementing the Matrix Numerov Method for Solving Schrödinger Equation

In the rapidly evolving landscape of IoT, MQTT has emerged as the de facto standard protocol for data exchange. This post on MQTT is designed to equip decision-makers, solution architects, and IoT professionals with a strategic and practical understanding of MQTT and how to execute it for scalable, reliable, and seamless data movement. Delve into how MQTT can help organization overcome the challenges other IoT protocols cannot address with features such as persistent sessions, retained messages, Last Will and Testament (LWT), Quality of Service (QoS) levels, and more. After reading this guide, you'll be ready to use MQTT to optimize connectivity and lay the proper data foundation to enable any IoT or IIoT use case.

In this post, we explore the core architectural philosophy behind OpenML's backend infrastructure: a deliberate choice of explicit control and standards compliance over framework magic. By anchoring our microservices to the strict rules of the JAX-RS specification, and leveraging precise engines like Jersey and Quarkus rather than comprehensive ecosystems like Spring, we ensure our codebase remains portable and maintain absolute sovereignty over our entire execution environment.

We are all familiar with RAG system as a customized LLM trained with private data. How about applying a codebase as the private data as a RAG for coding agent? ADR (Architectural Decision Records) does this for us

In recent years, researchers have begun formalizing the Quantum Knowledge Graph (QKG), which integrates traditional knowledge graphs with Quantum Natural Language Processing (QNLP).

The ReAct paradigm bridges the gap between digital reasoning and purposeful action by giving agents a digital form of inner speech. By generating internal thought traces before executing tasks, AI can plan, observe, and self-correct in a continuous loop. This approach moves us away from black-box automation and toward building transparent, deliberate agents that can navigate complex problems with genuine logical integrity.

Holy... I'm still at 17. My tech portfolio has been obsolete. Let's put up a blog that shares the updates and new features since JDK 9 forward.