On the role of curiosity in humans and artificial intelligence agents. — You can find a GitHub repository with the code to reproduce the experiments at the end of the article. From a survival point of view, the main biological needs that drive animals and humans are not particularly different. Humans and animals need to eat and drink in order to survive…

Giving a drone the ability to autonomously follow you using deep learning-based computer vision techniques like object detection and depth prediction. — Drones are becoming increasingly popular to their versatility and amazing imaging technology; From delivery to photography, a lot can be done with these flying devices. They are dexterous in the air and can be piloted with a remote controller, and can reach great heights and distances. All these features made…

Visualizing and decoding brain activity with neural networks. — You can find all the code of this article in this online Colaboratory Notebook, and you can run it directly on your browser. Here’s the GitHub repo. Follow me on Twitter for updates on my work and more: https://twitter.com/normandipalo The nervous system is an incredibly complex structure. Across your whole…

Reverse engineering iPhone X’s new unlocking mechanism. — You can find here all the Python code. Follow me on Twitter for updates on my work and more: https://twitter.com/normandipalo One of the most discussed features of the new iPhone X is the new unlocking method, the successor of TouchID: FaceID. Having created a bezel-less phone, Apple had to develop…

Mixing, creating and searching aesthetically coherent designs with neural networks. — One of the most discussed aspects of artificial intelligence and computer science its whether machines can be creative or not. This discussion is as old as the first computer, but in recent times amazing results from Generative Adversarial Networks and similar architectures really made the discussion bigger. Being a creative…

How the paradigm is shifting from programming to teaching machines. — Soon we won’t program computers. We’ll train them like dogs. This is the title of a quite recent Wired article. What they expose there is how, since machines are getting smarter thanks to AI and machine learning, they will understand our language and communication methods, and not vice versa. As…

Using real muscles to walk on a human-like model. — The code for this post can be found in this GitHub repository. One of the 2017 NIPS Challenges is «Learning to Run»: as the name suggests, the task is to design and develop a learning algorithm that is capable of controlling a bio-mechanical model of the human body to make…

A step-by-step guide using small and efficient neural networks and a bit of magic. — Neural networks, and particularly deep learning research, have obtained many breakthroughs recently in the field of computer vision and other important fields in computer science. Among many different application, one technology that is currently on the rising is self-driving cars. Everybody has heard of them, all the major company seem…

Tackling the bottlenecks of the physical world. — This is the second part of a series of posts. You can find here the Intro and Part 1, about Evolutionary Algorithms. You can find the code for the described algorithms and experiments in this GitHub repository. In the recent years, Reinforcement Learning has had a reinassence. Various breakthroughs and…