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A propos du stade éthique et esthétique: une réflexion sur la pensée Kierkegaardienne Depuis le début de ma vie adulte, j’ai souvent eu le sentiment de devoir rompre de nombreuses digues ; je crois que c’est une expérience commune à la plupart de mes semb…

With the arrival of large language models (LLMs), something new is coming in the domain of human-computer interactions.

In this article, I will explore an intriguing way of thinking about probabilities from a categorical viewpoint, which eventually allows us to understand the definition of probabilistic computation in a functional form.

I wrote an article about the modern data stack on Fonction Labs’ blog.

Some time ago, I presented an article on this blog about functional programming and lambda calculus.

In this blog post, we study submodular optimization, exploring its applications in solving knapsack problems, more specifically the document summarization problem.

In this article, I present a solution to Qube’s challenge that uses manifold optimization, a technique that I was unfamiliar with at the time of attempting the challenge.

This post delves into the world of Variational Bayesian (VB) inference, comparing and contrasting it with traditional Bayesian techniques such as MCMC.

In the previous article, we explored how Functors can be used to abstract over different types of containers.

Functional programming and category theory are two related fields in mathematics and computer science that can be used to design and solve complex problems.

Functional programming languages are based on the lambda-calculus.

This series of articles is an attempt to briefly present functional programming (FP) in a simple form, introducing its most important concepts (currying, categories, monads..).