Matrix Factorization is one of the most widely used methods in Recommendation Systems, whose ultimate goal is to understand what is the user preference for a set of items. For example, Netflix tries to understand what movie you would like to watch next. In this post, we explain in simple terms how Matrix Factorization works.
Elon Must unveiled a new project to build a full-size humanoid robot, it will be lightweight, with only 57Kg and 40 actuators. The first prototype will be ready next year. After being a researcher for more than 8 years in humanoid robotics, before going full-time into the AI space, here are my thoughts about the Tesla Bot.
The attention mechanism is responsible for much of the recent success in NLP tasks such as text classification, named-entity recognition, Q&A, translation to name a few. However, computing attention is expensive. In this post, we summarize a new approach that replaces self-attention with a Fast Fourier Transform, which achieves 92% of the accuracy of BERT while being 7 times faster.
Online education is attracting more and more interest, especially since the COVID pandemic started. There are particular skills that companies demand that can be learned on focused online courses. Sometimes, the best way to find top talent is by looking for top students going through these courses. In this post, we analyze three sources that companies and head-hunters can monitor to find tech talent.
Every day of my life I try to get a little bit better, grow in some dimension, learn something new and take care of my family. In order to achieve this, I set internal goals and deadlines to push myself forward and measure the results of the actions I take.
Influence: The Psychology of Persuasion by Robert Cialidini describes what are the mechanisms that make us become influenced by other people. The book is full of anecdotes, experiments and stories about the six principles of persuasion: reciprocation, commitment and consistency, social proof, liking, authority and scarcity. What follows is a summary of the key ideas of the book.
Technology is transforming education dramatically. With rising college costs in the US and Europe, many students face the challenge of going into debt to earn a college degree. Fortunately, the EdTech industry has developed remarkably in recent years, reducing costs and increasing learning opportunities for more people.
In the last ten years, we have witnessed an explosion in the field of artificial intelligence. AI is everywhere around us, on our computers, our mobiles, our cars. However, a field closely related to AI, robotics, has not developed as much. This post aims to shed some light on some of the reasons why AI has developed much faster than robotics.
Contextual bandits are a simplified type of reinforcement learning algorithm that use contextual information about the environment to make decisions in real-time and require reward at every step. They can be used for applications such as news recommendation, ads placement on a website, financial portfolio design to name a few. In this post, we give an overview of contextual bandits and explain how they can be used.
D. Estévez, J. Isabel, V. González Pacheco, J. González Víctores, M. González-Fierro
This year 2019, was the 10th anniversary of ASROB, the robotic student society at the University Carlos III in Madrid. It is exciting to see that the organization is still thriving, that new students are joining it and that many projects are being developed. In this post we review the history of the organization and reflect on the reasons for its success.