Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Ramesh Sridharan

Ramesh Sridharan
Machine Learning Engineering Manager, Captricity

Website | @tweetsbyramesh

Ramesh Sridharan is a machine learning engineering manager at Captricity. Ramesh is passionate about using technology for social good, and his research has helped enable a cross-collaboration between researchers and doctors to understand large, complex medical image collections, particularly in predicting the effects of diseases such as Alzheimer’s on brain anatomy. He holds a PhD in electrical engineering and computer science from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL), where his thesis focused on developing machine learning and computer vision technologies to enhance medical image analysis.

Sessions

4:50pm-5:30pm Thursday, September 6, 2018
How Captricity built a human-level handwriting recognition engine using data-driven AI
Implementing AI
 Location: Yosemite BC
Secondary topics:  Computer Vision, Platforms and infrastructure
Ramesh Sridharan (Captricity)
Captricity has deployed a machine learning pipeline that can read handwriting at human-level accuracy. Ramesh Sridharan discusses the big ideas the company learned building and deploying this system, using data to identify specific problems to solve using AI and to evaluate and validate the algorithm itself and the overall system once deployed. Read more.