Inteligencia Artificial ITESM CQ

AcademIc Coffee: Deep Q-Learning

Reinforcement learning is an area in machine learning which is focused mainly on training an agent in a given environment in order to get the maximum reward based on the action it can take at the moment.

Deep Learing to “teach” and AIhow to play videogames

One team of the University of Oxford to create a better performance of a AI in Atari videogames. They have inspired with the demostration of combine Q-learning with deep learning to play Atari games maked in the work of Mnih et al (2013).

Detection emotions in text

It’s common to hear about detection of emotions in pictures of people faces, but other area that can be usefull to now the emotions of people with only analysing what they write in places like comments in Facebook or Twiter. This open a new possibility to automatize the analisys of…

Big Data in Medicine

Big data has been the new tendency in many areas of study, including medicine. The three major steps of actually using all of the data provided by patients are:

1. Data extraction where the data of many individuals is collected, this includes body scans, body fluid…

Atari Playing AI

Using Reinforcement Learning (Learning to take better actions in order to have a cumulative reward), scientifics of DeepMind Technologies developed a deep learning model for learning control policies directly from high-dimensional sensory input applied to learning and playing different gamees form…

Do you know about SSCAIT?

When someone mentions StarCraft, its almost granted that 90% of the people hearing imagines a korean guy that has played for 47 hours nonstop, no sleep, no food, and most likely no bathroom. I will not deny that koreans are the epitome of StarCraft players, but ever since 2011…