CFPs: Machine Learning for Autonomous Driving Symposium 2023

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Rowan

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Oct 5, 2023, 4:27:26β€―PM10/5/23
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Join Us for the Machine Learning for Autonomous Driving Symposium 2023 in New Orleans! πŸ“£ We will discuss the future of autonomous driving as is being redefined by the advances in machine learning and autonomous technologies.


🎯 About the Symposium:
Autonomous driving is evolving at a rapid pace, driven by progress made within the machine learning and drivingΒ  communities. ML4AD 2023 aims to act as a nexus between these communities, where researchers, industry experts, and practitioners can come together to redefine the future of autonomous driving technologies.


πŸ” Topics of Discussion:

  • Perception & Decision Making

  • Foundational Driving Models

  • Explainability

  • Safety

  • And much more!


πŸ’‘ Why Attend?

  • Novel Applications: Discover groundbreaking applications in the field.

  • Thought Exchange: Share and absorb fresh perspectives and ideas.

  • Research Presentations: Showcase your latest findings and learn from outstanding speakers.

  • CARLA Autonomous Driving Challenge: Test your AV solutions against some of the best approaches in academia and industry.

  • Networking: Meet and engage with leading experts in machine learning and autonomous driving.


πŸ“š Call for Papers:

We welcome contributions of novel papers and are excited to announce a list of renowned speakers with the option of two submission dates: 19th October or 16th November. Visit https://ml4ad.github.io/#submit for submission guidelines and further details.


πŸ‘‹ See You in New Orleans!
Don't miss out on this opportunity to shape the future of autonomous driving technology. We look forward to seeing you there!


πŸ—“ When: December 14, 2023. 8 am - 6 pm
πŸ“ Where: Hilton Garden Inn @ New Orleans Convention Center (Co-located with NeurIPS 2023)

πŸ‘₯ Organized by: Waymo, Bosch, Intel, NVIDIA, Stanford, and the University of Oxford.
🀝 Sponsored by: Waymo and Toyota Research Institute.


πŸ”— For more information, visit https://ml4ad.github.io/


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