Machine Learning in 5G

Geneva – 15 December, 2021 The top teams competing in the ITU AI/ML in 5G Grand Challenge Finale, a global competition to spur and award machine learning innovations in 5G communication networks, have just been announced. In first place, team...
  • 15 December 2021
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The ITU Challenge on AI and Machine Learning in 5G welcomes you to join students and professionals from around the world in solving problems at top of mind for innovators working to ensure that communication networks capitalize on advances in AI and...
  • 19 July 2021
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23 December 2020 / Health, Machine Learning in 5G
The ITU Journal is inviting contributions to five upcoming special issues on Bio-NanoThings for healthcare, Internet of Everything, Terahertz communications, wireless communication systems beyond 5G, and AI and machine learning in networking. The ITU Journal on Future and Evolving Technologies provides complete...
  • 23 December 2020
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“Free, fast, for all, the Journal aims to promote accessibility of research to academics and industry researchers across the world,” says the ITU Journal’s Editor-in-Chief, Ian F. Akyildiz. “The publication is free of charge for both readers and authors, highlighting the true...
  • 23 December 2020
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Ved P. Kafle and Abu Hena Al Muktadir of Japan’s National Institute of Information and Communications Technology (NICT) received the recognition of first prize at ITU Kaleidoscope 2020 for their paper proposing the use of machine learning techniques to support edge-cloud...
  • 18 December 2020
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18 December 2020 / Machine Learning in 5G
It all started with an idea: how might ITU create a community that can produce tangible impact in the field of AI and 5G for the communication industry? After all, emerging and future networks hold the promise of an even...
  • 18 December 2020
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5 August 2020 / Machine Learning in 5G
Hundreds of competitors from over 50 countries have entered the ITU Challenge on AI and Machine Learning in 5G to showcase their talent, test their concepts on real data and real-world problems, and compete for global recognition. Competitors are meeting new partners...
  • 5 August 2020
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We have never before modified our Tech, Media and Telecom (TMT) Predictions in the middle of the year: that would have felt like changing a wrong answer on an exam. There’s a first time for everything, and the combination of...
  • 4 May 2020
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14 April 2020 / Machine Learning in 5G
The ICT industry is accelerating its investigations into AI and Machine Learning with a view to optimizing network operations, increasing energy efficiency and curtailing the costs of operating a network. But mastering AI and Machine Learning will demand new expertise...
  • 14 April 2020
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Industry collaboration will be key to security in the 5G era. The sharing of network infrastructure could help operators to deliver new services faster, at lower cost. 5G continues to highlight the necessity of investment in all-fibre networks. Machine Learning...
  • 10 September 2019
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20 August 2019 / Machine Learning in 5G
A new ITU standard has established a basis for the cost-effective integration of Machine Learning into 5G and future networks. The standard – ITU Y.3172 –  describes an architectural framework for networks to accommodate current as well as future use cases of...
  • 20 August 2019
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8 February 2019 / Machine Learning in 5G
“ML techniques, so far, are more or less related to prediction, classification and decision-making in the networking area,” says Qiang Cheng of the Artificial Intelligence Industry Association of the China Academy of ICT. Cheng was highlighting the current state of...
  • 8 February 2019
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The following was adapted from ITU Secretary-General Houlin Zhao’s opening remarks at the Global Symposium for Regulators 2018 in Geneva on 10 July 2018. The first “Global ICT Regulatory Outlook” released last year by ITU showed that expectations of regulation in the field of...
  • 7 October 2018
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11 September 2018 / Machine Learning in 5G
The world of mobile virtual network operators (MVNOs) is facing another wave of change as evolving competition and demand along with technology advancements brings new opportunities and challenges for MVNOs and their mobile network operator (MNO) hosts. ‘MVNOs have a...
  • 11 September 2018
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How can information and communication technology (ICT) regulators respond to an increasingly dynamic, interconnected world? There must be a “paradigm shift” of new regulations and new laws, Dr. Ram Sewak Sharma, Chairman of Telecom Regulatory Authority of India (TRAI), explained in...
  • 17 July 2018
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The deadline to submit a paper to Kaleidoscope 2018: Machine Learning for a 5G future, the tenth edition of ITU’s flagship academic event, has been extended to 25 June 2018. Kaleidoscope 2018 invites the research community to share insight into emerging applications...
  • 4 June 2018
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14 April 2018 / Machine Learning in 5G
The ITU Focus Group establishing the foundations for machine learning to contribute to 5G systems will meet for the second time in Xi’an, China, 24-27 April 2018. A workshop held in conjunction with the meeting, 25 April 2018, will forecast...
  • 14 April 2018
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8 February 2018 / Machine Learning in 5G
A new ITU Focus Group will propose standardization strategies to assist Machine Learning in contributing to the efficiency of emerging IMT-2020 (5G) systems. The group will define the requirements of Machine Learning as they relate to technology, data formats and...
  • 8 February 2018
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Security and privacy by design, open APIs, network virtualization, identity and authorization, analytics and accessibility have been identified by industry leaders as core principles to guide ITU standardization work towards 2020. This was the collective view of a meeting held...
  • 8 December 2017
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A new ITU Focus Group will establish a basis for ITU standardization to assist machine learning in bringing more automation and intelligence to ICT network design and management. Participation is open to all interested parties. The creation of the Focus...
  • 15 November 2017
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