This session is part of our AI Day Virtual Conference. Registration/event page here.
Rising compute performance, particular those devices that require very little power, have pushed more compute capabilities to the endpoint, that place where the data is actually captured. If all (or most) computations can occur without having to come back to the Edge computer or the Cloud, actions can occur in real time and costs can be minimized. However, endpoint computing is not always the right action, as it depends on the application and what the end goal is. In this session, we will look at the hardware that’s available to make endpoint computing a reality, and how, when and where the Edge would be your best option.
Carlos Morales has over 30 years of research and development experience spanning silicon to cloud. During his career, Mr. Morales has held architecture, development, management, and business development roles at multiple technology companies,...
Product Marketing Engineer, AI Solutions, STMicroelectronics
Louis Gobin is a Product Marketing Engineer supporting Artificial Intelligence (AI) solutions in STMicroelectronics Americas Region and has held this position since February 2022. Gobin started his career as a machine-learning applications...