Adam Grzywaczewski
Deep Learning Solution Architect, NVIDIA

Adam Grzywaczewski is a deep learning solution architect at NVIDIA, where his primary responsibility is to support a wide range of customers in delivery of their deep learning solutions. Adam is an applied research scientist specializing in machine learning with a background in deep learning and system architecture. Previously, he was responsible for building up the UK government’s machine-learning capabilities while at Capgemini and worked in the Jaguar Land Rover Research Centre, where he was responsible for a variety of internal and external projects and contributed to the self-learning car portfolio.

Sessions

16:50–17:30 Wednesday, 16 October 2019

Location: King's Suite - Balmoral

Developing perception algorithms for autonomous vehicles

Implementing AI

Secondary topics: Computer Vision, Deep Learning, Hardware, Machine Learning, Mobile Computing, IoT, Edge

Adam Grzywaczewski (NVIDIA)

Average rating:

(4.25, 12 ratings)

Developing perception algorithms for autonomous vehicles is incredibly difficult, as they need to operate in thousands of driving conditions and locations. Adam Grzywaczewski explores the challenges involved in data collection, processing, and management, as well as model development and validation. He also provides an overview of the necessary hardware and software infrastructure. Read more.