The Hello World! of quantum advantage — Introduction Each technology or programming language has its version of a “Hello World!” program. With this “simple” program, you can start coding or using the technology. For example, in Python, the language we use in this book, the Hello World concept is to print a string like this: print(‘Hello World!’). This…

The quantum revolution It’s interesting to compare both computing technologies to demystify the quantum world. The architecture of a classical computer Here you are close to the rabbit hole. The time has come to jump out of your reality. Alice discovered a new world down the rabbit hole, just like you in the following pages. …

Time to do some quantum stuff Introduction to Qiskit IBM released in 2017 a framework to use their quantum computers and simulators. This library, named Qiskit (https://qiskit.org), is a framework written in python and built on top of the OpenQASM language (the machine language). Initially, Qiskit consisted of four modules named: Terra: allows…

A new theory on intelligence and how the neocortex works. — Introduction For a long time, I have been following Numenta, a startup of neuroscientists whose goal is to understand the neocortex to reproduce the mechanisms in learning algorithms. The founder, Jeff Hawkins, wrote the book A Thousand Brains: A New Theory of Intelligence. Attractive title for me who loves neuroscience and…

A theoretical way through n-grams, tf-idf, one-hot encoding, word embeddings. And a surprise with pre-trained models. — Introduction Natural Language Processing seeks to map language to representations that capture morphological, lexical, syntactic, semantic, or discourse characteristics that can be processed by machine learning methods. Kamath, J. Liu, and Whitake 2019 It is necessary to present elements of theory before entering the algorithmic methodology. …

A deep dive into the quantum world and AI Introduction I love quantum mechanics, something is fascinating about the perception of how QM explains the world. How different it is than the reality we can see and live in. Everything we call real is made of things that cannot be regarded…

A great tour in the world of Deep Learning in less than 10 minutes. — It took me a long time to open this book. More for fear of finding that I knew nothing more than for fear of being frustrated with knowing everything. I regularly receive newsletters on "best of" or "most read" books about artificial intelligence, machine learning, or deep learning. Deep Learning…

The difference between the techniques and their applications — This article is the first part of three articles about computer vision. Part 2 will explain Object Recognition. Part 3 will be about Image Segmentation. With this article is provided a notebook: here on GitHub Introduction What is more exciting than seeing the world? To be able to see the best…

An application of the RNN family — Introduction For a long time, I heard that the problem of time series could only be approached by statistical methods (AR[1], AM[2], ARMA[3], ARIMA[4]). These techniques are generally used by mathematicians who try to improve them continuously to constrain stationary and non-stationary time series. A friend of mine (mathematician, professor of…