Convolutional Neural Networks (CNN) are now. Buckle up—we’re taking off fast.
In the midst of building the most advanced data collection systems to ensure innovation is met with safety, recent advancements in deep learning, specifically convolutional neural networks (CNN), have inspired confidence amongst software engineers who now rely on this innovative approach to auto-label millions upon millions of data sets to test and teach this complex, brain-like system to label images appropriately. This presentation will explore the continued maturation of this technology as it relates to the future of autonomous flight.
Arne is the Project Executive heading up Wayfinder, a project focused on the development of autonomous flight and machine learning solutions to enable self-piloted operations of a range of aircraft, from urban air mobility vehicles to large commercial airplanes. Passionate about robotics and autonomous electric vehicles, he has held engineering leadership positions at global companies such as Volkswagen/Audi and Infineon, and at aspiring Silicon Valley startups, namely Lucid Motors/Atieva, Knightscope and Better Place. Arne earned a Doctor of Philosophy in Electrical and Computer Engineering from the Technical University of Munich and held a computer vision and data analysis research position at Stanford University.