The 4th "Tianzhi Cup"
The AI Challenge is in full swing
Under the guidance of the Equipment Development Department of the Central Military Commission, sponsored by the Equipment Department of the Military Aerospace Force, and co-organized by the Beijing Institute of Remote Sensing Information, the Key Laboratory of Smart Earth, the State Key Laboratory of Aerospace Dynamics, and the Aerospace Information Innovation Institute of the Chinese Academy of Sciences, the 4th "Tianzhi Cup" Artificial Intelligence Challenge has opened the test and evaluation service of online subjects, and has officially entered the intense online preliminary stage.
The 4th "Tianzhi Cup" Artificial Intelligence Challenge accelerates the development of intelligent aerospace, leads the country's superior forces to tackle key problems collaboratively, fully excavates the outstanding talent team in the aerospace field, creates a national intelligent application ecology in the aerospace field, and promotes talent training, exchanges and cooperation in the field and the transformation of achievements. Since the competition started registration on June 1 this year, up to now, it has attracted 467 real-name registration teams from Tsinghua University, National University of Defense Technology, Wuhan University, Beijing Institute of Technology, Aerospace Engineering University, Information Engineering University, Aerospace Science and Industry, iFLYTEK, China Four-Dimensional Surveying and Mapping, Zhongke Star Map, Aerospace Hongtu, Changguang Satellite and other military and local units, with 1,687 contestants.
Registration for the contest is still open, waiting for you to fight!
Registration address:
www.tianzhibei.com
Introduction
About the competition
The "Tianzhi Cup" Artificial Intelligence Challenge is an artificial intelligence technology competition for aerospace applications under the guidance of the Equipment Development Department of the Central Military Commission and sponsored by the Equipment Department of the Military Aerospace Force. The competition follows the principle of "openness, fairness, justice, innovation, integration, and leadership", selects teams with advantages in artificial intelligence technology across the country, gathers the strongest brains, gathers advanced technologies, and strives to promote the rapid and in-depth application of artificial intelligence technology in aerospace applications.
Organization
Organizational structure
Mentoring units
Equipment Development Department of the Central Military Commission
Organizers
Department of Equipment of the Military Aerospace Forces
Steering Committee
Academicians and well-known experts in the field
Organizers
Beijing Institute of Remote Sensing Information
Key Laboratory of Smart Earth
State Key Laboratory of Astronautics
Institute of Aerospace Information Innovation, Chinese Academy of Sciences
Track
Competition subjects
This year's competition set up 4 fields: "Intelligent Application of Remote Sensing Data", "Smart Earth", "Intelligent Processing and Application of Space Data", and "Intelligent Control of Spacecraft", with 6/3/2/2 subjects in each field. For details of specific subject information, please refer to the official website of the competition (www.tianzhibei.com) and the intranet notice of the whole army's weapons and equipment procurement information network.
The status of registration for each subject so far
Schedule
Contest process
The subjects of this competition are divided into online and offline categories according to the preliminaries process, and each subject is registered through the official website of the competition (www.tianzhibei.com), of which 4 subjects of "remote sensing data intelligent application field", 3 subjects of "smart earth field", and 2 subjects of "spacecraft intelligent management and control field" rely on the online platform for online preliminaries, and select the winning teams to enter the offline semi-finals and finals, and the rest of the offline subjects do not have online preliminaries, and the specific process is as follows.
Online subjects
Online Preliminary Selection (2024.6 — 8)
The teams directly register on the official website of the competition (www.tianzhibei.com), use public data to train and test the model, and submit the algorithm model online for evaluation, and the top 10 teams with relevant qualifications will be qualified for the semi-finals by the deadline of the annual list (August 31, 2024).
Offline Semi-finals (2024.9)
The participating teams arrive at the location designated by the organizer, use non-public data to train and test the algorithm model, and the organizer ranks the participating teams according to the evaluation results, and selects the top 5 to enter the on-site finals.
On-site Finals (2024.10)
The participating teams arrive at the location designated by the organizer, use non-public data to train and test the algorithm model, and the organizer ranks the participating teams according to the evaluation results, and determines 1 champion, 1 runner-up, 1 third runner-up, and 2 excellence awards.
Offline subjects
Offline Preliminaries (2024.9)
Teams participating in offline subjects can register through the official website (www.tianzhibei.com) of the competition (the deadline is June 30, 2024), and the registration is successful after receiving the review notice, and the registration status can be checked on the official website.
The offline preliminary round will be held in mid to early September 2024, where the participating teams will arrive at the location designated by the organizer to train and test the algorithm model using non-public data, and the organizer will rank the participating teams according to the evaluation results and select the top 5 to enter the on-site finals.
On-site Finals (2024.10)
The participating teams arrive at the location designated by the organizer, use non-public data to train and test the algorithm model, and the organizer ranks the participating teams according to the evaluation results, and determines 1 champion, 1 runner-up, 1 third runner-up, and 2 excellence awards.
Award
Awards
Participating teams will be ranked based on their test scores. 1 champion, 1 runner-up and 1 third runner-up and 2 excellence awards will be awarded for each competition subject.
Champion $1,000,000
The runner-up is 300,000 yuan
The third place is 200,000 yuan
The total prize pool is 18 million yuan
Guideline
Contest Description
1. The competition is a public welfare event, and there is no charge for the participating teams.
2. The unit of the team participating in the offline subjects and offline preliminaries must have relevant qualifications, and the unit of the team participating in the competition such as individuals and students must provide relevant certificates;
3. Team members must be nationals of the People's Republic of China, and the number of team members must not exceed 5;
4. In order to expand the participation in the competition, only one team of the same team (the secondary department of the company, the research department of the research institute, the research group of the department of the school, etc.) can register for the competition, and the organizer will review and decide whether the multiple teams belong to the same team, and the organizer has the right to cancel the qualification of the duplicate teams.
5. Each team is limited to 2 subjects in each field, and the number of subjects for the same team to enter the finals does not exceed 2, if there is exceedance, the participating team will choose any 2 subjects, and the vacant finals will be filled from the ranking from high to low according to the results of the previous stage of the competition;
6. The same person can only register for one team in the same field, and cannot join multiple teams;
Contact
Contact
Log in to the competition website: www.tianzhibei.com, register and register, the competition does not accept telephone, email and other ways to register.
Official email
Remote sensing data intelligence application field
Teacher Liu: 18518883717
Teacher Yang: 15075250268
Smart Earth Domain
Teacher Cheng: 17086441745
Teacher Liu: 18992830817
Application fields of intelligent processing of space data
Mr. Ouyang: 19802941954
Teacher Peng: 15891712806
Spacecraft intelligent management and control
Teacher Liu: 029-84761312
Teacher Huyan: 19909290257
Mr. Huang: 15829320867