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

I study Social Psychology in order to get insights about myself. A book on Social Psychology sparked my interests on this field so I picked up a text book about it. The notion of "Fundamental Attribution Error" and its application on World War II German society ignited my examination on my past 30 years of life as a Chinese.

Why would AI work? Certainly technological advancements and market conditions have their contributions. But it is the philosophical justification presented by one of the greatest philosophers, David Hume, that has made it inevitable which this post shows by examining and linking his most phenomenon work - "An Enquiry Concerning Human Understanding"

"Quantum Metaphysics" is a highly active area of inquiry. This branch of philosophy investigates the ontological implications of quantum theory. While the mathematical formalism of quantum mechanics flawlessly predicts experimental outcomes, quantum metaphysics asks what those equations actually reveal about the fundamental nature of reality. It bridges formal physical laws with ontological frameworks by addressing several core problems, such as The Measurement Problem, Ontological Status of the Wave Function, Non-locality and Determinism, and Interpretations of Reality

Since it's first release in 2010 out of Rackspace and NASA, OpenStack has sparked a magnetic appeal deep in my personal interests. OpenStack was essentially a declaration of digital independence and, since then, serves as the technological manifestation of metaphysical libertarianism. It hands us the keys to the bare metal and lets us build the entire environment ourselves.

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