ITU AI/ML in 5G Grand Challenge Finale

The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups.

Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML.

For the detailed programme, please scroll down.

Speakers, Panelists and Moderators

  • H. VINCENT POOR
    H. VINCENT POOR
    Michael Henry Strater University Professor
    Princeton University
    H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University, where his interests include information theory, machine learning and network science, and their applications in wireless networks, energy systems, and related areas. He is a member of U.S. National Academy of Engineering andU.S.  National Academy of Sciences, and also a foreign member of the Chinese Academy of Sciences, the Royal Society and other national and international academies. Recent recognition of his work includes the 2017 IEEE Alexander Graham Bell Medal and honorary doctorates from several universities in Asia, Europe and North America.
  • CHIH-LIN I
    CHIH-LIN I
    China Mobile Chief Scientist, Wireless Technologies
    China Mobile Research Institute
    Chih-Lin I is CMCC Chief Scientist of Wireless Technologies. She received Ph.D. EE from Stanford University. She has won 2005 IEEE ComSoc Stephen Rice Prize, 2018 Fred W. Ellersick Prize, and 2015 IEEE Industrial Innovation Award for Leadership and Innovation in Next-Generation Cellular Wireless Networks. She is the Chair of O-RAN Technical Steering Committee and an O-RAN Executive Committee Member, the Chair of FuTURE 5G/6G SIG, the Chair of WAIA (Wireless AI Alliance) Executive Committee, an Executive Board Member of GreenTouch, a Network Operator Council Founding Member of ETSI NFV, a Steering Board Member and Vice Chair of WWRF, a Steering Committee member and the Publication Chair of IEEE 5G and Future Networks Initiatives, a member of IEEE ComSoc SDB, SPC, and CSCN-SC, and a Scientific Advisory Board Member of Singapore NRF. She has 100+ patents, published 200+ Journal and conference papers, and 3 books. Her current research interests center around ICDT Deep Convergence: “From Green & Soft to Open & Smart”.
  • WOJCIECH SAMEK
    WOJCIECH SAMEK
    Head of Department of Artificial Intelligence
    Fraunhofer Heinrich Hertz Institute
    Wojciech Samek is head of the Department of Artificial Intelligence and the Explainable AI Group at Fraunhofer Heinrich Hertz Institute (HHI), Berlin, Germany. The Fraunhofer Heinrich Hertz Institute (HHI) is ranked among top 20 Artificial Intelligence Research Labs in the world. He studied computer science at Humboldt University of Berlin, Heriot-Watt University and University of Edinburgh from 2004 to 2010 and received the Dr. rer. nat. degree with distinction (summa cum laude) from the Technical University of Berlin in 2014. During his studies he was awarded scholarships from the German Academic Scholarship Foundation and the DFG Research Training Group GRK 1589/1, and was a visiting researcher at NASA Ames Research Center, Mountain View, USA. After his PhD he founded the Machine Learning Group at Fraunhofer HHI, which he has directed until 2020. Dr. Samek is associated faculty at the Berlin Institute for the Foundation of Learning and Data (BIFOLD), the ELLIS Unit Berlin and the DFG Graduate School BIOQIC. Furthermore, he is an editorial board member of PLoS ONE, Pattern Recognition and IEEE TNNLS and an elected member of the IEEE MLSP Technical Committee. He is recipient of multiple best paper awards, including the 2020 Pattern Recognition Best Paper Award, and part of the MPEG-7 Part 17 standardization. He is co-editor of the Springer book "Explainable AI: Interpreting, Explaining and Visualizing Deep Learning" and has organized various special sessions, workshops and tutorials on topics such as explainable AI, neural network compression, and federated learning. Dr. Samek has co-authored more than 150 peer-reviewed journal and conference papers; some of them listed by Thomson Reuters as "Highly Cited Papers" (i.e., top 1%) in the field of Engineering.
  • HOULIN ZHAO
    HOULIN ZHAO
    Secretary-General
    International Telecommunication Union (ITU)
    Houlin Zhao was re-elected ITU Secretary-General at the 20th Plenipotentiary Conference in Dubai, United Arab Emirates, in November 2018. ​ Mr Zhao is an information and communication technology (ICT) engineer who has served in a variety of senior management positions at ITU, began his second, and last, four-year term on 1 January 2019. Prior to first being elected as ITU Secretary-General in 2014, Zhao served eight years as ITU Deputy Secretary-General. In that role, he assisted the ITU Secretary-General, in close cooperation with the other elected officials of the Union, to manage the implementation of the ITU Strategic Plan and the operations of the ITU Secretariat, in particular with a view to increasing the transparency and efficiency of the organization. He was responsible for implementing important innovations, including the promotion of a new category of membership open to the global academic community, internal efficiency measures such as the move to a near-paperless work environment, the increased use of remote participation systems, and measures to increase revenue from sales and cost-recovery services. In addition, he focused closely on membership-driven priorities including maintaining and extending ITU's commitment to accessibility, to multilingualism, and to broad multistakeholder participation in the work of the Union. He also served two elected terms as Director of ITU's Telecommunication Standardization Bureau (TSB), which develops technical standards to ensure worldwide ICT interoperability. During his two terms as TSB Director, he spearheaded the introduction of new efficiency measures to improve ITU's standards-making environment through fostering even closer cooperation with industry members, while strengthening the promotion of ITU's leadership in global ICT standards development. Before that, he was a Senior Counsellor with TSB for 12 years. Before joining ITU, Mr Zhao served as an engineer in the Designing Institute of the Ministry of Posts and Telecommunications of China, taking an active role in his country's expert meetings on telecommunication standards and national plans, as well as participating in ITU work as a Chinese delegate. He contributed important articles to a number of prestigious Chinese technical publications, and in 1985 was awarded a prize for his achievements in science and technology within the Ministry of Posts and Telecommunications. Born in 1950 in Jiangsu, China, Mr Zhao graduated from Nanjing University of Posts and Telecommunications, and holds an MSc in Telematics from the University of Essex in the United Kingdom. He is married with one son and two grandchildren, and is fluent in three official ITU languages: English, French and Chinese. Mr Zhao is committed to further streamlining ITU's efficiency, strengthening its membership base through greater involvement of the academic community and of small- and medium-sized enterprises, and to broadening multistakeholder participation in ITU's work.
  • CHAESUB LEE
    CHAESUB LEE
    Director of the Telecommunication Standardization Bureau
    International Telecommunication Union (ITU)
    Chaesub Lee was elected Director of the ITU Telecommunication Standardization Bureau at the ITU Plenipotentiary Conference 2014 in Busan, Republic of Korea, and re-elected to this post for a second four-year term at the ITU Plenipotentiary Conference 2018 in Dubai, United Arab Emirates. Dr Lee has contributed ICT standardization for over 30 years, specializing in areas such as integrated services digital networks (ISDN), global information infrastructure (GII), Internet protocol, next-generation networks (NGN), Internet protocol television (IPTV) and cloud computing. He started his professional life in 1986 as a researcher at Korea Telecom. After 17 years he took up a role at the country's Electronics and Telecommunications Research Institute (ETRI), where he stayed for the next eight years. Most recently he worked at the Korea Advanced Institute of Science and Technology (KAIST), and as a senior advisor to Korea's Ministry of Science, ICT and Future Planning (MSIP). Within ITU Dr Lee served as Chairman of the ITU Focus Group on Next-Generation Networks (NGN) to address the growing need for international standards for NGN, including service requirements, functional architecture, mobility, security and Quality of Service (QoS). He was also Vice-Chairman of the ITU Focus Group on IPTV which worked to coordinate and promote the development of IPTV standards. He acted as Vice-Chairman of ITU-T Study Group 13 (Future networks and cloud) from 2001 until 2008, becoming Chairman of that group in 2009. ITU-T Study Group 13 develops standards for NGN, future networks, cloud computing, Internet of Things (IoT) and mobile telecommunications, to ensure their smooth international deployment.
  • REINHARD SCHOLL
    REINHARD SCHOLL
    Deputy to the Director of the Telecommunication Standardization Bureau (TSB)
    International Telecommunication Union (ITU)
    Dr. Reinhard Scholl is Deputy to the Director of the Telecommunication Standardization Bureau (TSB) since September 2002. Previously he has been with Siemens in Munich, Germany and with ETSI (European Telecommunications Standards Institute). He has also served on the ICANN Board. He received a Ph.D. in physics from the University of Illinois, USA.
  • THOMAS BASIKOLO
    THOMAS BASIKOLO
    Young Expert - AI/ML
    International Telecommunication Union (ITU)
    Thomas Basikolo works with the ITU coordinating and managing the ITU AI/ML in 5G Challenge. He received a PhD in Electrical and Computer Engineering from Yokohama National University, Japan. During his studies, he was awarded the Japanese Government (Monbukagakushō) scholarship. He was also a recipient of grants for Non-Japanese Researchers from the NEC C&C Foundation, and a visiting researcher at the NEC Data Science Research Laboratories. Prior to joining ITU, he worked as a Research Engineer in the Engineering Department of Microwave Factory Co., Ltd, Tokyo, Japan. He is recipient of multiple Best Paper Awards, the IEEE AP–S Japan Student Award and the Young Engineer of the year award by IEEE AP–S Japan in 2018. He has co-authored peer-reviewed journal and conference papers, predominantly in the areas wireless communications and antenna engineering. He serves as a Reviewer of IEEE and IEICE Journals. His interests includes, machine learning, deep learning and network science, and their applications in wireless networks.
  • VISHNU RAM OV
    VISHNU RAM OV
    Independent Research Consultant
    Vishnu has hands-on experience in the field of Telecom industry for more than two decades, developing and implementing standards, and holds many international granted patents. He was nominated to Scientific Advisory Board Associate (SABA) member of Motorola Networks and the IET Future Tech Panel. He currently works as a independent research consultant, is the co-editor of ITU-T Focus Group specifications on Machine learning in 5G. His current work items include coordinating standards initiatives, industry bodies, open source and academia, mentoring student projects and coordinating the ITU "AI/ML in 5G“ Challenge across the globe. Vishnu holds a Masters degree in Computer Science and Engineering from Indian Institute of Technology, Delhi.
  • BOB EVERSON
    BOB EVERSON
    Senior Director, 5G Architecture
    Cisco
    Bob Everson is the Senior Director - 5G Architecture for Cisco Systems; leading strategy, architecture, technology, and systems development. In this role he is responsible for defining and developing 5G systems across both the service provider and enterprise domains. Bob was an early pioneer in software-defined mobile networks and virtualized radio-access networks. Throughout his career, he has remained keenly focused on finding the optimal intersection between innovative technologies, the broader systems they impact, and the businesses that are built on them. He is a frequent speaker at industry events and loves getting outside perspectives to broaden his thinking.
  • CITC OF CHINA UNICOM
    CITC OF CHINA UNICOM
  • THE UNIVERSITY OF TOKYO
    THE UNIVERSITY OF TOKYO
  • NARA INSTITUTE OF SCIENCE AND TECHNOLOGY
    NARA INSTITUTE OF SCIENCE AND TECHNOLOGY
  • GUOCHUANG SOFTWARE CO LTD
    GUOCHUANG SOFTWARE CO LTD
  • CHINA MOBILE SHANDONG
  • CHINA MOBILE GUIZHOU
  • ASIAINFO TECHNOLOGIES LIMITED
    ASIAINFO TECHNOLOGIES LIMITED
  • NANKAI UNIVERSITY
    NANKAI UNIVERSITY
  • TECHNISCHE UNIVERSITÄT BERLIN
    TECHNISCHE UNIVERSITÄT BERLIN
  • IMPERIAL COLLEGE LONDON
    IMPERIAL COLLEGE LONDON
  • NORTHEASTERN UNIVERSITY
    NORTHEASTERN UNIVERSITY
  • EURECOM
    EURECOM
  • UNIVERSITAT POMPEU FABRA
    UNIVERSITAT POMPEU FABRA
  • UNIVERSITY OF ANTWERP
    UNIVERSITY OF ANTWERP
  • UNIVERSIDAD DE ANTIOQUIA
    UNIVERSIDAD DE ANTIOQUIA
  • SAUDI TELECOM COMPANY
    SAUDI TELECOM COMPANY
  • OSAKA PREFECTURE UNIVERSITY
    OSAKA PREFECTURE UNIVERSITY
  • KYOTO COLLEGE OF GRADUATE STUDIES FOR INFORMATICS
    KYOTO COLLEGE OF GRADUATE STUDIES FOR INFORMATICS
  • NATIONAL INSTITUTE OF TECHNOLOGY, OKINAWA COLLEGE
    NATIONAL INSTITUTE OF TECHNOLOGY, OKINAWA COLLEGE
  • INSTITUTE OF COMPUTING TECHNOLOGY CHINESE ACADEMY OF SCIENCES
    INSTITUTE OF COMPUTING TECHNOLOGY CHINESE ACADEMY OF SCIENCES
  • ERICSSON RESEARCH INDIA
    ERICSSON RESEARCH INDIA
  • INTERDIGITAL
    INTERDIGITAL
  • INRIA/IRISA
    INRIA/IRISA
  • FRAUNHOFER HEINRICH HERTZ INSTITUTE HHI
    FRAUNHOFER HEINRICH HERTZ INSTITUTE HHI
  • SALZBURG RESEARCH
    SALZBURG RESEARCH
  • NEC CORPORATION
    NEC CORPORATION
  • INTEC UNIVERSITY
    INTEC UNIVERSITY
  • USATU UNIVERSITY
    USATU UNIVERSITY
  • IMDEA NETWORKS
    IMDEA NETWORKS
  • LINKÖPING UNIVERSITY
    LINKÖPING UNIVERSITY
  • LUND UNIVERSITY
    LUND UNIVERSITY
  • INDIAN INSTITUTE OF SCIENCE
    INDIAN INSTITUTE OF SCIENCE

Hourly Schedule

Day 1​​ - ​Tuesday, 15 December 2020 (Time zone - CET)​​

11:30 - 12:00
Join session to test connection
12:00 - 12:15
Opening Ceremony​
Speaker:
REINHARD SCHOLL
12:15 - 12:30
Problem Statement – 5G+AI+AR
Speaker:
CITC OF CHINA UNICOM
12:30 - 13:15
​Problem Statement – Analysis on route information failure in IP core networks by NFV-based test environment (KDDI, Japan)
Speakers:
THE UNIVERSITY OF TOKYO , NARA INSTITUTE OF SCIENCE AND TECHNOLOGY
13:15 - 13:30
Problem Statement – Fault Localization of Loop Network Devices based on MEC Platform ​
Speaker:
GUOCHUANG SOFTWARE CO LTD
13:30 - 14:00
Problem Statement – Network topology optimization​
Speakers:
CHINA MOBILE SHANDONG , CHINA MOBILE GUIZHOU
14:00 - 14:15
Coffee break
14:15 - 14:30
Problem Statement – Energy-Saving Prediction of Base Station Cells in Mobile Communication Network ​
Speaker:
ASIAINFO TECHNOLOGIES LIMITED
14:30 - 14:45
Problem Statement – Out of Service(OOS) Alarm Prediction of 4/5G Network Base Station
Speaker:
NANKAI UNIVERSITY
14:45 - 15:00
Problem Statement – Demonstration of MLFO capabilities via reference implementations
Speaker:
TECHNISCHE UNIVERSITÄT BERLIN
15:00 - 15:45
Problem Statement – ML5G-PHY -Beam-Selection: Machine Learning Applied to the Physical Layer of Millimeter-Wave MIMO Systems (UFPA, Brazil)
Speakers:
IMPERIAL COLLEGE LONDON , NORTHEASTERN UNIVERSITY , EURECOM
15:45 - 16:30
Problem Statement – Improving the capacity of IEEE 802.11 WLANs through Machine Learning (UPF, Spain)
Speakers:
UNIVERSITAT POMPEU FABRA , UNIVERSITY OF ANTWERP , UNIVERSIDAD DE ANTIOQUIA , SAUDI TELECOM COMPANY

Day 2​​ - ​Wednesday​, 16 December 2020 (Time zone - CET)​​

11:30 - 12:00
Join session to test connection
12:00 - 12:15
Problem Statement – 5G+AI (Smart Transportation) - (JNU, India)
Speaker:
SAUDI TELECOM COMPANY
12:15 - 13:00
Problem Statement – Network State Estimation by Analyz-ing Raw Video Data (NEC, Japan)
Speakers:
OSAKA PREFECTURE UNIVERSITY , KYOTO COLLEGE OF GRADUATE STUDIES FOR INFORMATICS , NATIONAL INSTITUTE OF TECHNOLOGY, OKINAWA COLLEGE
13:00 - 13:30
​Problem Statement – Compression of Deep Learning models (ZTE)
Speakers:
INSTITUTE OF COMPUTING TECHNOLOGY CHINESE ACADEMY OF SCIENCES , ERICSSON RESEARCH INDIA
13:30 - 13:45
Problem Statement – Privacy Preserving AI/ML in 5G net-works for healthcare applications (C-DOT, India)
Speaker:
IMPERIAL COLLEGE LONDON
13:45 - 14:00
Problem Statement – Shared Experience Using 5G+AI (3D Augmented + Virtual Reality)​ - (Hike, India)
14:00 - 14:15
Coffee break
14:15 - 15:00
Problem Statement – Graph Neural Networking Challenge 2020 (BNN-UPC, Spain)
Speakers:
INTERDIGITAL , INRIA/IRISA , FRAUNHOFER HEINRICH HERTZ INSTITUTE HHI , SALZBURG RESEARCH
15:00 - 15:30
Problem Statement – Using weather info for radio link failure (RLF) prediction (Turkcell, Turkey)
Speakers:
NEC CORPORATION , INTEC UNIVERSITY
15:30 - 15:45
​Problem Statement – Shared Experience Using 5G+AI (3D Augmented + Virtual Reality)​ - (Hike, India)
Speaker:
USATU UNIVERSITY
15:45 - 16:30
​Problem Statement – ML5G-PHY- Channel Estimation @NCSU: Machine Learning Applied to the Physical Layer of Millimeter-Wave MIMO Systems at North Carolina State University (NCSU, US)
Speakers:
IMDEA NETWORKS , LINKÖPING UNIVERSITY , LUND UNIVERSITY , INDIAN INSTITUTE OF SCIENCE

Day 3​​ - Thursday​, 17 December 2020 (Time zone - CET)​​

11:30 - 12:00
Join session to test connection
12:00 - 12:30
​Opening Ceremony​​
Speakers:
HOULIN ZHAO , CHAESUB LEE , THOMAS BASIKOLO
12:30 - 12:55
Keynote​ – Recent advances in Federated Learning for Communication
Federated Learning (FL) is a relatively new training paradigm, which allows multiple entities to jointly train a machine learning model on their combined data, without any of the participants having to reveal their potentially privacy sensitive data to a centralized server. This is achieved by processing the data on the local devices and only communicating sanitized or encrypted information about the underlying patterns to other devices and the server. This talk will give a structured overview of the basic approaches that have been proposed for FL, alongside their theoretical underpinnings and specific advantages and challenges. Furthermore, one major focus on the talk will be put upon new developments, e.g., FL with different model architectures and auxiliary data (federated distilling), clustered FL, and Sparse Ternary Compression for improving the robustness and communication-efficiency in FL. Finally, the talk will give a first-hand summary of the ongoing federated learning-related standardization activities and the upcoming MPEG-7 part 17 standard on neural network compression.
Speaker:
WOJCIECH SAMEK
12:55 - 13:40
Special Session: Vision for the future - AI/ML in 5G roadmap
Wireless networks provide a ripe environment to implement and benefit from Artificial Intelligence and Machine Learning technologies. With the advent of 5G, this has expanded significantly with a multitude of use cases have emerged in the network, in devices, and in the applications. These promise to bring significant benefits to both operators and consumers of 5G services. In order to maximize the benefits in the network, the approach must work cross-domain and be multi-vendor. This presentation will discuss both use cases and mechanisms for implementation. It will also highlight a key challenge and call to action for the community. While there has been progress in defining a standard 5G infrastructure for data analytics collection and impactful inference, we call attention to the challenges associated with building a truly unified 5G platform for ML/AI use cases.
Speaker:
BOB EVERSON
13:40 - 14:05
Keynote - The Unfinished Journey of Network AI
Native Network AI has been a crucial part of our quest for ICDT Deep Convergence for more than 6 years. With the global deployment and commercialization of the 5G network, Wireless Big Data and ML/AI are widely recognized as the essential elements driving 5G network intelligence evolution in order to deliver the necessary efficiency, flexibility, and cost effectiveness. Significant progress on network operation and maintenance using ML/AI technologies has been made and validated in 4G/5G networks. Various studies on network intelligence standardization from management to control planes, including the use cases and requirements, AI functional framework, procedures and architecture have been actively explored. This talk will explore our journey in pursuit of native RAN intelligence, from theory to preliminary practice validation. The ML/AI use cases in 5G networks and representative validation results will be shared, followed by the corresponding standardization progress. The challenges, gaps, and future research directions to achieve native network AI will be discussed based on the lessons learned from the practice so far. We’ll then conclude with the expected path forward on this exciting journey.
Speaker:
CHIH-LIN I
14:05 - 14:30
Keynote - Learning at the Wireless Edge
Wireless networks can be used as platforms for machine learning, taking advantage of the fact that data is often collected at the edges of the network, and also mitigating the latency and privacy concerns that backhauling data to the cloud would entail. This talk will present an overview of some results on distributed learning at the edges of wireless networks, in which machine learning algorithms interact with the physical limitations of the wireless medium. Two topics will be considered: federated learning, in which end-user devices interact with edge devices such as access points to implement joint learning algorithms; and decentralized learning, in which end-user devices learn by interacting in a peer-to-peer fashion without the benefit of an aggregating edge device. Open topics for future research will also be discussed briefly.
Speaker:
H. VINCENT POOR
14:30 - 15:15
Winners’ presentations
15:15 - 15:30
​Award announcements: ​prizes and certificates
15:30 - 15:35
Closing Call for papers of special issue of ITU Journal on Future and Evolving Technologies (ITU J-FET): “AI/ML Solutions in 5G and Future Networks”Ceremony​​
Ian Akyildiz, Editor-in-Chief, Georgia Institute of Technology, United States
15:35 - 15:45
2021 outlook for Challenge 2.0
15:45 - 16:00
Closing Ceremony​​
Speaker:
CHAESUB LEE
REINHARD SCHOLL
REINHARD SCHOLL
Deputy to the Director of the Telecommunication Standardization Bureau (TSB)
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
CITC OF CHINA UNICOM
CITC OF CHINA UNICOM
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
THE UNIVERSITY OF TOKYO
THE UNIVERSITY OF TOKYO
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
NARA INSTITUTE OF SCIENCE AND TECHNOLOGY
NARA INSTITUTE OF SCIENCE AND TECHNOLOGY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
GUOCHUANG SOFTWARE CO LTD
GUOCHUANG SOFTWARE CO LTD
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
CHINA MOBILE SHANDONG
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
CHINA MOBILE GUIZHOU
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
ASIAINFO TECHNOLOGIES LIMITED
ASIAINFO TECHNOLOGIES LIMITED
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
NANKAI UNIVERSITY
NANKAI UNIVERSITY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
TECHNISCHE UNIVERSITÄT BERLIN
TECHNISCHE UNIVERSITÄT BERLIN
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
IMPERIAL COLLEGE LONDON
IMPERIAL COLLEGE LONDON
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
NORTHEASTERN UNIVERSITY
NORTHEASTERN UNIVERSITY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
EURECOM
EURECOM
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
UNIVERSITAT POMPEU FABRA
UNIVERSITAT POMPEU FABRA
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
UNIVERSITY OF ANTWERP
UNIVERSITY OF ANTWERP
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
UNIVERSIDAD DE ANTIOQUIA
UNIVERSIDAD DE ANTIOQUIA
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
SAUDI TELECOM COMPANY
SAUDI TELECOM COMPANY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
OSAKA PREFECTURE UNIVERSITY
OSAKA PREFECTURE UNIVERSITY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
KYOTO COLLEGE OF GRADUATE STUDIES FOR INFORMATICS
KYOTO COLLEGE OF GRADUATE STUDIES FOR INFORMATICS
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
NATIONAL INSTITUTE OF TECHNOLOGY, OKINAWA COLLEGE
NATIONAL INSTITUTE OF TECHNOLOGY, OKINAWA COLLEGE
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
INSTITUTE OF COMPUTING TECHNOLOGY CHINESE ACADEMY OF SCIENCES
INSTITUTE OF COMPUTING TECHNOLOGY CHINESE ACADEMY OF SCIENCES
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
ERICSSON RESEARCH INDIA
ERICSSON RESEARCH INDIA
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
INTERDIGITAL
INTERDIGITAL
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
INRIA/IRISA
INRIA/IRISA
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
FRAUNHOFER HEINRICH HERTZ INSTITUTE HHI
FRAUNHOFER HEINRICH HERTZ INSTITUTE HHI
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
SALZBURG RESEARCH
SALZBURG RESEARCH
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
NEC CORPORATION
NEC CORPORATION
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
INTEC UNIVERSITY
INTEC UNIVERSITY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
USATU UNIVERSITY
USATU UNIVERSITY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
IMDEA NETWORKS
IMDEA NETWORKS
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
LINKÖPING UNIVERSITY
LINKÖPING UNIVERSITY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
LUND UNIVERSITY
LUND UNIVERSITY
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
INDIAN INSTITUTE OF SCIENCE
INDIAN INSTITUTE OF SCIENCE
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
HOULIN ZHAO
HOULIN ZHAO
Secretary-General
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
CHAESUB LEE
CHAESUB LEE
Director of the Telecommunication Standardization Bureau
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
THOMAS BASIKOLO
THOMAS BASIKOLO
Young Expert - AI/ML
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
WOJCIECH SAMEK
WOJCIECH SAMEK
Head of Department of Artificial Intelligence
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
BOB EVERSON
BOB EVERSON
Senior Director, 5G Architecture
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
CHIH-LIN I
CHIH-LIN I
China Mobile Chief Scientist, Wireless Technologies
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.
H. VINCENT POOR
H. VINCENT POOR
Michael Henry Strater University Professor
The Grand Challenge Finale (Final Conference) is the culmination event of the ITU AI/ML in 5G Challenge. This event will mark the end of the first edition of the challenge, which started in March 2020. Winning teams from each regional host will describe the problem statement and present their solutions. Finally, on the last day, 17th December 2020, the “ITU AI/ML in 5G Challenge Global Champion” will be declared along with the runner ups. Final event will feature innovative AI/ML solutions that can be applied in real network to address some of the problems that network operators face. In addition, it will also have path-breaking research presented by invited speakers from academia and industry. Leaders from the sponsors (TRA/UAE, Cisco and ZTE) will present to us their vision of future of AI/ML in networks. Thus, we are aiming to energize a community of value which can address network related problems using AI/ML including academia, industry and SDOs which would in turn drive ITU standardization work for AI/ML. For the detailed programme, please scroll down.

Date

15 Dec 2020 - 17 Dec 2020

Time

CET, Geneva
12:00 - 16:00
Sessions

Topics

5G

Watch Day 1

Watch Day 2

Watch Day 3