Scaling Computer Vision in the Cloud and AI Chips
Scaling Computer Vision in the Cloud and AI Chips

Abstract: 

Computer Vision is becoming the ultimate sensor. We present several applications where sensors from other domains are replaced with Computer Vision, reducing costs and increasing generalizability of the sensor. These deployments run on Matroid, detailing customized visual search and stream monitoring to a large number of users. Along the way, we explain how Matroid creates, trains, and visualizes CV models without programming, accessible to typical computer users who are not developers, allowing them to monitor video streams and visually search large collections of media. We conclude with some inspiring applications of CV in the medical domain, pushing the boundaries of medicine with cutting-edge Glaucoma detection using Computer Vision.

Bio: 

Reza Bosagh Zadeh is Founder CEO at Matroid and an Adjunct Professor at Stanford University. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. Reza received his PhD in Computational Mathematics from Stanford under the supervision of Gunnar Carlsson. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has served on the Technical Advisory Boards of Microsoft and Databricks, and has been working on Artificial Intelligence since 2005, starting at age 18 when he worked in Google's AI research team.

As part of his research, Reza built the Machine Learning Algorithms behind Twitter's who-to-follow system, the first product to use Machine Learning at Twitter. Reza is the initial creator of the Linear Algebra Package in Apache Spark. Through Apache Spark, Reza's work has been incorporated into industrial and academic cluster computing environments. In addition to research, Reza designed and teaches two PhD-level classes at Stanford: Distributed Algorithms and Optimization (CME 323), and Discrete Mathematics and Algorithms (CME 305).