To improve YunTech students' comprehension of artificial intelligence and inspire more students to delve into this field, this competition is designed to introduce participants to prominent cloud computing platforms utilized in the industry and acquaint them with the pertinent technologies in artificial intelligence and autonomous driving applications.
Join ContestAccording to the AWS website: 'AWS DeepRacer is the fastest way to get started with Reinforcement Learning (RL), by driving a 1/18 scale fully autonomous race car through reinforcement learning, a 3D racing simulator, and a global racing league. Developers can train, evaluate, and tune RL models in the online simulator, deploy their models to AWS DeepRacer to gain real-world autonomous driving experience, and compete in the AWS DeepRacer League for a chance to win the AWS DeepRacer Championship Cup.' Simply put, DeepRacer is a platform to learn and improve artificial intelligence (AI) and machine learning (ML) techniques on autonomous cars, which can undergo comprehensive training and be used for virtual simulation. This competition will be conducted online.
To enhance the awareness of artificial intelligence among the students at NYUST and encourage more students to enter the field of artificial intelligence, this competition aims to provide students with an opportunity to become familiar with widely used cloud computing platform services in the industry. It also aims to help them gain insights into the relevant technologies of artificial intelligence and the current highly popular applications of self-driving cars.
Registration deadline is November 15, 2024.
All team members must be current NYUST students. Each team can consist of 1 to 4 members. Please refer to the registration process below for sign-up details.
Two online racing point competitions will be held. The top 10 racers in each race can earn points. The points for 1st to 10th place are as follows: 25, 18, 15, 12, 10, 8, 6, 4, 2, 1 point(s) respectively.
This competition allows participants to compete using their own Reinforcement Learning model or the Sample model provided by the AWS DeepRacer console. Sharing or using models shared by others is not permitted. 2024 YunTech AI Racing Competition Guidelines
*The organizers may adjust the competition schedule according to the actual circumstances.
If you encounter any issues during the registration process, please email us at changart@yuntech.edu.tw.
Team leader, please register first and create your account and team.
Team leader, please send your team members the invitation code obtained after creating the team.
Team members, please register using the invitation code provided by the team leader and remember your account password.
After joining the team, please remember to upload your student ID. Failure to do so will be considered as forfeiting your eligibility to participate.
Please patiently await the organizer's review, and pay attention to email notifications.