AI Webseries - Deep Learning As A Service with Carlos Uranga
Deep Learning As A Service
Abstract:
Considerations for engaging an external team for the initial proof of concept, and where I think Deep Learning is headed as a science, faster than we think...
Deep Learning is a fantastically promising field of study within the genre of Machine Learning and Big Data analytical techniques. One caveat is that it requires some very good experience both to crunch an initial data set, refine hardware and software techniques, and later to set up future data acquisition pipelines and labeling methodology - this all to ensure the best quality data, per model. This talk goes into the considerations of where A.I. is headed as a science, as a profession, and what the possible costs considerations can be when building a DL team, from the ground-up.
Presenter:
Carlos Uranga
Entrepreneur in Robotics/Genomics/AI, former Director of Innovation Lab Singularity University
Carlos is the founder, developer, and mentor for startups - leveraging robotics to quantify and elucidate patterns in living systems. Most recently Carlos had the privilege of serving as the Director of the Innovation Lab (iLab) at Singularity University (SU) - empowering leaders and startups to leverage exponential technologies and solve global grand challenges. Carlos has ~ 4 years experience in molecular biology R&D, bioprocess engineering, and over 10 years industry experience in Bioinformatics, Pharmacogenomics, clinical and genomics lab automation. As an early proponent of preventative medicine using Genomics (and other -omic sciences), he assisted in some of the early designs of novel genetic analysis/ molecular diagnostic tools finding propensity and concurrence of hereditary disease. Carlos has a Masters in Bioengineering from UCSD and the equivalent of a Masters in Computer Vision and Robotics from INPG/ INRIA in Grenoble, France. Carlos likes to spend time adventure motorcycle and bicycle riding and loves to hack 2D & 3D robots for fun - this all while listening to a great audiobook or some rad EDM.