Innovation or increments? Weknow we are a creature of habits. We like a routine, with its well defined days and we like to be able to predict the output of the actions we perform. It has to do w...
A new education
A new education I learn at my own pace, in my own house In covid-19 times we had the opportunity to experiment with different learning methods beside the traditional classroom. This is good!...
Guidelines for re-opening in safety
Guidelines for re-opening in safety in a new coronavirus world These are some guidelines that I would like to see governments and center for disease control set for a safe exit quarantine strateg...
What a virus teaches us about ourselves
What a virus teaches us about ourselves Before building, let us learn to take care One definition of intelligence is the ability to predict the future and the results of our actions. If an outs...
Foundations of intelligence
Foundations of intelligence What are the foundation of intelligence? What can make an artificial entity capable of intelligent behavior in its own environment? Here I list the major building blo...
Artificial Intelligence in the year 2020: a new decade
Artificial Intelligence in the year 2020: a new decade We are at the end of a decade that will be forever know as the “Decade of Deep Learning and AI”. What lies ahead is exciting and will continu...
Sequence-to-sequence neural networks
Sequence-to-sequence neural networks This posts explain the typical sequence-to-sequence (s2s) neural networks architecture and how to use them. Introduction Imagine we have in input sequence ...
Artificial Intelligence in 2019
Artificial Intelligence in 2019 Or how machine learning is evolving into AI These are my opinions on where deep neural network and machine learning is headed in the larger field of artificial i...
Biological and artificial intelligence
Biological and artificial intelligence commentary on this blog post by Surya Ganguli I wanted to provide some commentary on this blog post by Surya Ganguli, which appeared on December 5th 2...
Predictive neural networks for reinforcement learning
Predictive neural networks for reinforcement learning Ingredients: Visual network: a CNN encoder (CNN1) or similar that takes the visual input (raw pixels) and provides embedding e_t (a vec...