A competition to test artificial intelligence and machine learning (AI / ML) in 5G

While 5G will be one of the most critical technologies from next year, scientists are already looking into its reach to other sectors. L’International Telecommunication Union (ITU) has launched the second edition of the Artificial Intelligence and Machine Learning (AI / ML) competition in 5G. It is an initiative that will help prove the importance of AI in medicine.

This competition which is organized as part of the project AI for Good will know its epilogue December 14 with the final of the Grand Challenge. Participants are called upon to anticipate and resolve problems by referring to machine learning thanks to 5G technology.

This meeting is a real test before the large deployment of 5G to other sectors such as geospatial.

A test to accredit AI solutions in medicine

Since the rapid spread of the coronavirus, the 5G along with artificial intelligence (AI) programs has been used to perform several surgeries. Although successes have been observed, a certain reluctance is developing.

Many international firms have adapted to the revolutionary technologies of artificial intelligence, learning with 5G networks. This international competition remains a huge challenge to further prove the effectiveness of tools associated with AI.

“The think tank is developing a benchmarking framework that empowers people to trust AI-powered health solutions. The ITU-WHO think tank will propose a process, guidelines and best practices to ensure confidence in AI solutions. “

Reinhard Scholl, Deputy Director of the ITU Telecommunication Standardization Bureau

Resolve funding issues for upcoming editions

Several participants in this second edition expressed difficulties in terms of resources to face the various tests. Even if Xilinx and the Ministry of Science and ICT of the Republic of Korea support this initiative, more resources will be needed for the total success of the next editions.

“We hope to be able to offer computing resources to participants next year who do not have the support of a wealthy university or company. Training machine learning models can be time consuming, and several participants informed us that they do not have the resources to run meaningful models. We are therefore working on this point. “

Reinhard Scholl, Deputy Director of the ITU Telecommunication Standardization Bureau