The Bonch-Bruevich St.Petersburg State University (SPbSUT) is glad to announce below the "Traffic recognition and Long-term traffic forecasting based on AI algorithms and metadata for 5G/IMT-2020 and beyond", which is organized as part of the “ITU Artificial Intelligence/Machine Learning in 5G Challenge.”


Legal terms and Conditions


Participants agree to provide true, accurate, current, and complete information when registering with this form. If participants provide any information that is fraudulent, untrue, inaccurate, incomplete, or not current, or we have reasonable grounds to suspect that such information is fraudulent, untrue, inaccurate, incomplete, or not current, we reserve the right to suspend or terminate the registration and to refuse any and all current and future participations in the challenge.

Teams are limited to a maximum of four members, and none of the participants can be part of more than one team without previous consent from the challenge organizers. All the team participants are considered to have equal contribution on the proposed solution.

Privacy: Note that except for the team's name, the participants’ names, the associated organization(s)/institution(s), and the country/countries, no additional information from this registration form will be publicly disclosed without explicit request. Email addresses (i.e., contact email and additional emails) will be used to contact the team participants and send them exclusively information related to the challenge.

Intellectual Property: Intellectual Property Rights (IPR) related to the proposed solutions are NOT expected to be transferred to the organizing institution and/or organizing members. Note that during the evaluation process only the output of the model will be required to compute the score. At the end of the challenge, the organizers will only ask for some documents related to the solutions proposed by the top candidates with the sole purpose of verifying that they comply with all the rules of the challenge. Particularly, final submissions of the top candidates must include the code of the neural network solution proposed, the neural network model already trained, and a brief document describing the proposed solution. Information from these files can be used by the organizers to write a public article describing the experience of the challenge and some details of the top proposed solutions.

Evaluation of proposed solutions: For the top selected solutions at the end of the challenge, participants will be responsible to facilitate the reproducibility of the solution to check that it complies with all the rules of the challenge. In case of any eventual contingency, including any case not considered in the rules of the challenge or with an open interpretation, a committee formed by three members of the organizing team will reserve the right to make final decisions on whether accepting or refusing proposed solutions. In case of any ambiguity or confusion, participants are encouraged to proactively contact the challenge organizers to check that their solutions meet all the requirements to be considered in the challenge.

Any additional or altered deadlines not already reported in the challenge website will be publicized to the participants via the challenge website and the challenge mailing list. It is the participants’ responsibility to check the website and the mailing list updates regularly to stay informed of any new or updated deadlines.

After the test set is released, every team will be allowed to make up to a maximum number of submissions per day that will be specified on the challenge website. In case of receiving more submissions, only the first submissions up to this maximum number will be considered.

By accepting these conditions, you warrant that all your submissions will be the result of your own original work and, as such, you are the sole and exclusive owner and rights holder of the submissions, and you have the right to make the submissions on behalf of all the team participants. You agree not to make any submission that: (i) infringes any third-party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations; or (ii) otherwise violates any applicable local, state, federal, national, or international law.

Any public document describing the solution and built based on the information of this site (algorithm, pictures, formulas) must include a clear citation to the papers where this baseline solution is described (see reference [1, 2, 3, 4] at http://itu-ai-challenge.sut.ru/references.html).

Participants shall use the datasets only for non-commercial research and educational purposes. Commercial use is restricted to previous explicit consent from the organizers. Information found on the challenge website may be freely used and copied for educational and other non-commercial purposes, provided that any reproduction of data is accompanied by an acknowledgement to the challenge website (http://itu-ai-challenge.sut.ru/references.html) and the organizers (The Bonch-Bruevich St.Petersburg State University of Telecommunications).

Regarding the datasets, these files are provided by the copyright holders and contributors “as is” and any express or implied warranties, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall copyright holders or contributors be liable for any direct, indirect, incidental, special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data, or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

Please, note that it is mandatory to accept all these terms and conditions to participate in the challenge. By clicking on “I understand and accept the legal terms and conditions”, you accept all the terms and conditions on behalf of ALL the team members.