AI Accelerator projects are developing and prototyping challenges that engage the public to advance AI.

A challenge is a means to engage academia, industry, and the public towards solving a common problem. In the context of Machine Learning, challenges have commonly involved open competitions organized around a publicly released data set. The team or individual developing the best Machine Learning model to learn from or analyze that data set wins! The world-wide collaboration resulting from such challenges has historically driven fundamental advances in many fields. In some communities, these challenges are also called “Hackathons.” Challenges such as the Datathon (DoD challenge) and the MagNav (public challenge) at JuliaCon play an important role in advancing diverse fields of AI research. A major goal of each AI Accelerator project is to develop and prototype challenges. AI Accelerator challenges are coordinated by Dr. Vijay Gadepally.

List of AI Accelerator Challenges

Pizza Simultaneous Localization and Mapping Challenge (NEW)
MultiEarth 2022 Challenge (NEW)
Puckboard Challenge
Magnetic Navigation  Challenge
SEVIR: Weather Challenge
Datacenter Challenge
  • Project: Fast AI
  • Learn more about this challenge on DCC
RF Challenge
Maneuver ID Challenge
CogPilot Data Challenge