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Y.3173
Y.3173 is an ITU-T Recommendation building upon 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 t ... specifying a framework for evaluation intelligence levels of future networks such as 5G (IMT-2020). This includes: * Development trend of network intelligence * Methods for evaluating network intelligence levels * Architectural view for evaluating network intelligence levels The standard addresses issue in Operation, Administration and Maintenance (OAM) of IMT-2020 networks such as: * diversified network deployment scenarios are * diversified terminals, such as in Internet of things (IoT) * manual decision-making mechanisms * mechanisms analysing large amounts of network * network connectivity among UEs * decoupling of software from the hardware in networks * transition t ... [...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-T Y Series Recommendations
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 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 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 January 2015 until 31 December 2022. Primary functio ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Focus Group On Machine Learning In 5G
Focus (: foci or focuses) may refer to: Arts * Focus or Focus Festival, former name of the Adelaide Fringe arts festival in East Australia Film * ''Focus'' (2001 film), a 2001 film based on the Arthur Miller novel * ''Focus'' (2015 film), a 2015 film about con artists Music * Focus (music), a musical technique also known as modal frame * Focus..., American music producer * Focus (band), Dutch progressive rock band Albums * ''Focus'' (Stan Getz album), 1961 jazz album * ''Focus'' (Bill Hardman album), 1984 jazz album * ''Focus'' (Jan Akkerman & Thijs van Leer album), 1985 * ''Focus'' (Cynic album), 1993 metal album * ''Focus'' (Chico Freeman album), 1994 jazz album * ''Focus'' (Souls of Mischief album), 1998 alternative hip-hop album * ''Focus'' (Holly Starr album), 2012 CCM album * ''Focus'' (Arthur Blythe album), 2002 jazz album * ''Focus'' (Diaura album), 2013 Japanese visual kei album Songs * "Focus" (Ariana Grande song), 2015 * "Focus" (Bazzi song), 2019 * ... [...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] |
