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Focus Groups

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​ITU-T Focus Groups​​

Focus Groups are an instrument created by ITU-T that follow ITU-T A.7 to augment the Study Group work programme by providing an alternative working environment for the quick development of specifications in their chosen areas. Focus Groups are now widely used to address industry needs as they emerge, and when they are not covered within an existing Study Group. The key difference between Study Groups and Focus Groups is the freedom that the latter have to organize and finance themselves​. Focus Groups can be created very quickly, are usually short-lived and can choose their own working methods, leadership, financing, and types of deliverables.
FG-TBFxG​
​​ ITU-T Focus Group on Testbeds Federations for IMT-2020 and beyond (FG-TBFxG)
(in operation since 2021-12)​​
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ITU-T Focus Group on Testbeds Federations for IMT-2020 and beyond (FG-TBFxG) was established by ITU-T Study Group 11 on its virtual plenary on 10 December 2021. The Focus Group will serve as a platform to harmonize testbeds specifications across SDOs/Fora. The FG-TBFxG will develop the required application program interfaces (APIs) aligned with the Testbeds Federations Reference Model defined in Recommendation ITU-T Q.4068, developed in collaboration with ETSI TC INT, and define a set of use cases for Federated Testbeds and APIs. The Focus Group will play a role in providing a platform to share views, to develop a series of deliverables and it will also offer a platform to different stakeholders to share their initiatives and projects aligned with the outlined vision and the desired Ecosystem on Testbeds Federations. The Focus Group will develop technical specifications that may become a basis for further standardization in the area of Testbeds Federations.​​​​

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​​​FG-AI4A​
​​ ITU-T ​​Focus Group on "Artificial Intelligence (AI) and Internet of Things (IoT) for Digital Agriculture" (FG-AI4A)
(in operation since 2021-10)​​
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ITU-T Focus Group on AI and IoT for Digital Agriculture (FG-AI4A) was established by ITU-T Study Group 20 on 21 October 2021. This Focus Group will work closely with FAO to address the challenges within the agricultural sector, examine existing standardization gaps, and conduct the preparatory work for best practices related to the use of AI and IoT in supporting data acquisition and handling, improving modeling based on agricultural and geospatial data, and delivering interventions related to the optimization of agricultural production processes.

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​​​FG-AI4NDM
​​ ITU-T Focus Group on AI for Natural Disaster Management (FG-AI4NDM)​​
(in operation since 2020-12)​​
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ITU-T Focus Group on AI for Natural Disaster Management (FG-AI4NDM) was established in December 2020, to explore the potential of AI in supporting data collection and handling, improving modelling across spatiotemporal scales, extracting complex patterns and gaining insights from a growing streams of geospatial data, to enhance the preparedness for (and response to) natural disasters. This FG seeks to build a community of stakeholders and experts to underscore the use of AI (in the context of data, modelling, and communication technologies) for natural disaster management and create a roadmap for AI activities in the context of natural disaster management.

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​​FG-AN
ITU-T Focus Group on Autonomous Networks (FG-AN)​​
(in operation since 2020-12)​​
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ITU-T Focus Group on Autonomous Networks was established on 17 December 2020 to support standardisation activities of autonomous networks. The Focus Group will explore creative intelligence techniques that leverage online evolution mechanisms, enabling adaptation as a catalyst to achieve autonomous networks. FG-AN will explore and study approaches such as exploratory evolution, emergent behaviour, and real-time responsive experimentation to enable an autonomous network.

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​​FG-AI4AD
​​ ITU-T Focus Group​​ on AI for autonomous and assisted driving (FG-AI4AD)
(In operation since 2019-10)​​
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The ITU-T Focus Group on AI for autonomous and assisted driving (FG-AI4AD) was established in October 2019 to support standardisation activities of AI evaluation in autonomous and assisted driving. To this end, the FG aims to create an open framework for collaboration and sharing of expertise that leads towards international harmonisation on the definition of a universal minimal performance threshold for AI enabled driving functions (such as AI as a Driver) which is essential to building the global public trust required for widespread deployment of AI on our roads.

The FG-AI4AD deliverables will focus upon the behavioural evaluation of AI responsible for the dynamic driving task in accordance with the 1949 and 1968 Convention on Road Traffic of the UNECE Global Forum for Road Safety. ​

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​​​​FG-AI4EE
ITU-T Focus Group on "Environmental Efficiency for Artificial Intelligence and other Emerging Technologies" (FG-AI4EE)
(In operation since 2019-05)​

The ITU-T Focus Group on “Environmental Efficiency for AI and other Emerging Technologies” (FG-AI4EE) will identify the standardization gaps related to the environmental performance of AI and other emerging technologies including automation, augmented reality, virtual reality, extended reality, smart manufacturing, industry 5.0, cloud/edge computing, nanotechnology, 5G, among others. The focus group will develop technical reports and technical specifications to address the environmental efficiency, as well as water and energy consumption of emerging technologies.

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​​FG-AI4H
​​ ITU-T Focus Group on "Artificial Intelligence for Health" (FG-AI4H)
(In operation since 2018-07)

The ITU-T Focus Group on Artificial Intelligence for Health (AI4H) was established by ITU-T Study Group 16 at its meeting in Ljubljana, 9-20 July 2018. The Focus Group will work in partnership with the World Health Organization (WHO) towards a common methodology for the assessment of AI4H solutions.

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​​ ITU-T Focus Group on "Vehicular Multimedia" (FG-VM)
(In operation since 2018-07)

​The ITU-T Focus Group on Vehicular Multimedia was established by ITU-T Study Group 16 at its meeting in Ljubljana, 9-20 July 2018. The Focus Group will analyze and identify gaps in the vehicular multimedia standardization landscape and eventually draft technical reports and specifications covering, among others, vehicular multimedia use cases, requirements, applications, interfaces, protocols, architectures and security. ​

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