Intelligent robotic solutions built on Artificial Intelligence (AI) and Machine Learning are transforming physical work in eCommerce and retail enterprises today.
Many robotic solution providers, especially those focused on supply chain applications, tout AI as a foundational breakthrough that enables superior performance for their systems. But beyond the marketing hype, AI and Machine Learning are almost never adequately explained or fully understood. What are they really? What is real, what is fiction, and what do you need to know to ensure claims of ‘AI power’ actually deliver a benefit to your systems and operations.
In this webinar, we cover some of the fundamentally hard-to-solve problems in building intelligent systems, share how to work around these problems, demonstrate concepts with the audience, and share insights on the successful application to AI to the automation of eCommerce fulfillment and store restocking.
Register today for this informative session.
Date: Wednesday, January 27, 2021
Time: 11:00 AM EST
Dr. Chris Geyer
Engineering Fellow for Machine Vision and Artificial Intelligence
Chris has spent almost 20 years leading aggressive technology development based on leading-edge research to deliver practical solutions for the real-world. He has deep technical expertise in computer vision, machine perception, autonomy, and unmanned systems. Chris was a member of the winning DARPA Urban Challenge team (self-driving car competition) at Carnegie Mellon University and his publications have been cited over 4,000 times. Chris has a B.SE. and a Ph.D. in computer science from the GRASP Lab at the University of Pennsylvania.
Director of Software Engineering
Kyle's career focus has been centered on creating innovative robotic software products which demonstrate quality, performance, and ease of use. With a penchant for software process, attention to detail, and good design, Kyle has led numerous software production releases from initial alphas to mature production software releases. These software products continue to be in use at a numerous fortune 500 companies, leading manufacturers, and e-commerce companies. His software is also run-on robots featured at the Smithsonian. Kyle has a M.S.E. in Robotics from the University of Pennsylvania, and a B.S in Electrical Engineering from the University of New Hampshire.
MORE ABOUT BERKSHIRE GREY
Berkshire Grey helps customers radically change the essential way they do
business by delivering game-changing technology that combines AI and
robotics to automate omnichannel fulfillment.