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Y.3172
Y.3172 is an ITU-T Recommendation specifying an architecture for machine learning in future networks including 5G (IMT-2020). The architecture describes a machine learning pipeline in the context of telecommunication networks that involves the training of machine learning models, and also the deployment using methods such as containers and orchestration. A set of architectural requirements and specific architectural components needed to satisfy these requirements are presented. This includes i.a., machine learning pipeline as well as machine learning management and orchestration functionalities. Additionally, the standard describes the integration of such components into future networks including IMT-2020 as well as guidelines for applying this architectural framework in a variety of technology-specific underlying networks. The Recommendation Y.3173 builds upon Y.3172 by specifying a framework for evaluation intelligence levels of future networks. Machine Learning pipeline ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ITU-T
The International Telecommunication Union Telecommunication Standardization Sector (ITU-T) is one of the three Sectors (branches) of the International Telecommunication Union (ITU). It is responsible for coordinating Standardization, standards for telecommunications and Information Communication Technology, such as X.509 for cybersecurity, Y.3172 and Y.3173 for machine learning, and H.264/MPEG-4 AVC for video compression, between its Member States, Private Sector Members, and Academia Members. The World Telecommunication Standardization Assembly (WTSA), the sector's governing conference, convenes every four years. ITU-T has a permanent Secretariat (administrative office), secretariat called the Telecommunication Standardization Bureau (TSB), which is based at the ITU headquarters in Geneva, Switzerland. The current director of the TSB is Seizo Onoe (of Japan), whose 4-year term commenced on 1 January 2023. Seizo Onoe succeeded Chaesub Lee of South Korea, who was director from 1 J ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ITU-T Study Group 13
The ITU-T Study Group 13 (SG13) is a statutory group of the ITU Telecommunication Standardization Sector (ITU-T) concerned with future networks and emerging network technologies, infrastructure and cloud computing, including the networking aspects of mobile telecommunications. Examples include: Y.1564, Y.1731, etc.. Recent work includes a series of standards on using machine learning in networking, such as Y.3172, Y.3173, Y.3176, and Y.3181. Administratively, SG13 is a statutory meeting of the World Telecommunication Standardization Assembly (WTSA), which creates the ITU-T Study Groups and appoints their management teams. The secretariat is provided by the Telecommunication Standardization Bureau (under Director Seizo Onoe Seizo Onoe, a Japanese telecommunication executive, is the Director of the Telecommunication Standardization Bureau of the International Telecommunication Union, the Secretariat of ITU-T. Onoe was elected to the post of Director of the TSB for the ... ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
ITU AI For Good
AI for Good was established in 2017 by the International Telecommunication Union, International Telecommunication Union (ITU), the United Nations (UN) agency for digital technologies. The platform is co-convened with the Government of Switzerland and in partnership UN agencies. Its founding mission is to identify innovative applications of artificial intelligence (AI) to solve global challenges. AI for Good arose from collaboration between ITU and IBM Watson AI XPRIZE. The first AI for Good Global Summit 2017 was held in Geneva, Switzerland and is since held annually. Activity With the impact of the Covid-19 pandemic and global shutdowns, AI for Good moved online in March 2020. The platform has 37,000 contributors from more than 180 countries. Since 2023 AI for Good hosts a physical Global Summit in Geneva again annually. AI for Good has supported Global Initiatives on AI and Data Commons, AI for Health (in partnership with WHO), on Resilience to Natural Hazards through AI S ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
IMT-2020
International Mobile Telecommunications-2020 (IMT-2020 Standard) are the requirements issued by the ITU Radiocommunication Sector (ITU-R) of the International Telecommunication Union (ITU) in 2015 for 5G networks, devices and services. On February 1, 2021, the standard was published as Recommendation ITU-R M.2150-0 titled ''Detailed specifications of the radio interfaces of IMT-2020'', but most of it was finalized years earlier. For example the requirements for radio access technologies listed below were adopted in November 2017. Following the publication of the requirements the developers of radio access technologies such as 3GPP and ETSI are expected to develop 5G technologies meeting these requirements. 3GPP is developing radio access technologies 5G NR 5G NR (5G New Radio) is a radio access technology (RAT) developed by the 3rd Generation Partnership Project (3GPP) for the 5G (fifth generation) mobile network. It was designed to be the global standard for the air interface ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Machine Learning
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of Computational statistics, statistical algorithms that can learn from data and generalise to unseen data, and thus perform Task (computing), tasks without explicit Machine code, instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed Neural network (machine learning), neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics. Statistics and mathematical optimisation (mathematical programming) methods comprise the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Telecommunications Network
A telecommunications network is a group of Node (networking), nodes interconnected by telecommunications links that are used to exchange messages between the nodes. The links may use a variety of technologies based on the methodologies of circuit switching, message switching, or packet switching, to pass messages and signals. Multiple nodes may cooperate to pass the message from an originating node to the destination node, via multiple network hops. For this routing function, each node in the network is assigned a network address for identification and locating it on the network. The collection of addresses in the network is called the address space of the network. Examples of telecommunications networks include computer networks, the Internet, the public switched telephone network (PSTN), the global Telex network, the aeronautical ACARS network, and the wireless radio networks of cell phone telecommunication providers. Network structure this is the structure of network genera ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Containership (computer Science)
In computer science, object composition and object aggregation are closely related ways to combine objects or data types into more complex ones. In conversation, the distinction between composition and aggregation is often ignored. Common kinds of compositions are objects used in object-oriented programming, tagged unions, sets, sequences, and various graph structures. Object compositions relate to, but are not the same as, data structures. Object composition refers to the logical or conceptual structure of the information, not the implementation or physical data structure used to represent it. For example, a sequence differs from a set because (among other things) the order of the composed items matters for the former but not the latter. Data structures such as arrays, linked lists, hash tables, and many others can be used to implement either of them. Perhaps confusingly, some of the same terms are used for both data structures and composites. For example, "binary tree" ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Orchestration (computing)
In system administration, orchestration is the automated configuration, coordination, deployment, development, and management of computer systems and software. Many tools exist to automate server configuration and management. Usage Orchestration is often discussed in the context of service-oriented architecture, virtualization, provisioning, converged infrastructure and dynamic data center topics. Orchestration in this sense is about aligning the business request with the applications, data, and infrastructure. In the context of cloud computing, the main difference between workflow automation and orchestration is that workflows are processed and completed as processes within a single domain for automation purposes, whereas orchestration includes a workflow and provides a directed action towards larger goals and objectives. In this context, and with the overall aim to achieve specific goals and objectives (described through the quality of service parameters), for example, m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
