Retail Robotics & AI Conference
April 26, 2018
9:00 – 9:10 a.m.
Applied deep learning has fast become a standard tool for many industry machine learning applications. New advances in neural network techniques have opened the doors to solving problems at scale that were out of reach until recently. Because of these advances, applications such as in image recognition for self-driving cars, medical image classification, text translation, and fake news detection are both tractable and often the industry standard. Mike Tamir, who heads the data science teams at Uber ATG – the self-driving cars division – reveals how two key application areas of deep learning signal the broad importance of this emerging technology.
Steven Keith Platt’s session will focus on a discussion of various potential robotic applications, and an introduction to a new concept store, run entirely by robots.
Moderator: Deborah Weinswig, Managing Director, Fung Global Retail & Technology
In this session, Rose Haft of Lumenora will demonstrate how to reduce costs and waste in retail, improve customer service, increase sales, and keep customers coming back to stores using their proprietary compact AR headset, along with other smart technologies.
Clive Humby, Chief Data Scientist, Starcount, and Founder, Dunnhumby
Kristian J. Hammond, Professor, Electrical Engineering and Computer Science, Northwestern University