Louis Bouchard

Using multiple machine learning-based algorithms running privately on your device, Apple allows you to accurately curate and organize your images and videos on iOS 15.

Find out how this AI Generates Code From Words

Understand how AI creates new images using Generative Adversarial Networks in 2 minutes

AI is everywhere; understand how it works and build the most powerful applications! A simple explanation of the most popular deep neural network architecture for images: Convolutional Neural Networks. AI put simply.

Discover how machines become super-human in most domains they attack using reinforcement learning. Video submission for the IJCAI-21 AI Video Competition (adapted)

AI Spots Wildfires Faster Than Humans. Explained Simply

Using a modified GAN architecture, they can move objects in the image without affecting the background or the other objects!

This model takes a picture, understands which particles are supposed to be moving, and realistically animates them in an infinite loop while conserving the rest of the picture entirely still creating amazing-looking videos like this one.

Do you read research papers? It can look overwhelming at first, but here's how to make it more friendly and efficient.

This new Facebook AI model can translate or edit every text in the image in your own language, following the same style!

This AI can transfer your hair to see how it would look like before committing to the change.

How to Spot a Deep Fake in 2021. Breakthrough US Army technology using artificial intelligence to find deepfakes.

Apply any style to your 4K image in real-time using this new machine learning-based approach!

Properly relight any portrait based on the lighting of the new background you add.

The next step for view synthesis: Perpetual View Generation, where the goal is to take an image to fly into it and explore the landscape!

I will openly share everything about deep nets for vision applications, their successes, and the limitations we have to address.

A fun introduction project for computer vision and python on Google Colab. iterative-grabcut: Using a simple rectangle and a brush removing the background of any image!