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 Deadline: ASAP
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SAVE THE DATE: XPONENTIAL 2023 Exhibit Space Rebook will take place on April 25 onsite in Orlando.
Deadline to submit your application is Friday, April 1, 2022. When you select during rebook, you will have until Friday, May 13, 2022 to cancel without any penalty. For complete details or to submit your application, click here. 		 XPONENTIAL 2023
May 8 – 11, 2023
Colorado Convention Center
Denver
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Practical and Safe Implementation of AI/ML for Aviation Purposes

  • Room: S220E
  • Session Number:XPO22-4039
Wednesday, April 27, 2022: 4:00 PM - 4:45 PM

Speaker(s)

Panelist
Eric Anderson
General Manager, AWS Robotics
AWS Robotics and Autonomous Services
Panelist
George Romanski
Chief Scientific and Technical Advisor, Computer Aircraft Software
Federal Aviation Administration
Panelist
Kim Wasson
Autonomy Certification Lead
Joby Aviation
Panelist
Luuk van Dijk
CEO & Founder
Daedalean AG
Moderator
Raj Pai
Senior Technologist, Aeronautics and Sky for All Lead
NASA
Panelist
Wes Ryan
Program Manager (NARI)
NASA Ames

Description

The proposed panel will include a moderator and technical representatives from NASA, and at least two panel members from industry, to discuss the unique challenges of implementing AI/ML for aviation purposes. The panel will highlight a proposed classification scheme that considers functional criticality and computational complexity for implementing specific functions, whether they are "control", "decision-making", or "perception" functions. The panel will also touch on architectural and design aspects important to the safe use of AI/ML to bound expected behavior and to assist in classifying risk. The panel will also explore the idea of creating standardized AI/ML aviation data services and applications. As AI/ML applications start maturing, the aviation industry needs to shift from “bespoke” development efforts to enterprise wide “AI factory” approach to reap maximum benefits and economies of scale. This session will outline and discuss how digital natives and disruptors are using an “AI factory” approach.

Job Role:
Engineering/Technical,Government/Policy/Regulatory,Research & Development

Tags:
AI/Machine Learning,Autonomy,Automated Vehicles

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