Machine Learning, Models, and Computation
Channel: Juan Pablo Carbajal
Date: 08/03/2017

This is a talk given at
HSG's big data seminar 07.03.2017
Organized by Dr. Juan-Pablo Ortega
Slides at: https://sites.google.com/site/juanpicarbajal/public-talks

Abstract
Big data science is the current hype. We are bombarded by "discoveries" and "breakthroughs" from the private sector, and it seems things are moving rapidly. Is our fundamental understanding of data processing and intelligence speeding up?
We take on this topic from the point of view of models and computation, since computers are instrumental in the current hype! We will briefly review the history of computation, from analog to digital and back again to analog. This will bring us to the dawn of artificial intelligence and machine learning. Along the way we will highlight the role that models play in providing understanding and interpretability to data streams. We will then introduce memristors, an emerging technology that purportedly will lead us out of the Moore's law bottleneck, as the performance scaling given by the traditional MOSFET transistor is reaching its physical limits. 
The presentation is general and meant to be accessible to public with heterogeneous backgrounds, however technical questions will be welcomed and will be answered (when possible!).