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Academic Bet365 games

Academician of the Canadian Academy of Engineering、Academic report by Bet365 games Lin Cai from Victoria University and Associate Bet365 games Yansha Deng from King’s College London (KCL)

Source: Click: Bet365 games: January 14, 2024 19:01

Academician of the Canadian Academy of Bet365 gamesBet365 games of VictoriaBet365 gamesBet365 games

And King's Bet365 games London(KCL) Bet365 gamesBet365 games Academic Report

Reporter:Prof. Bet365 games, Bet365 games of Victoria, Canada, Canadian Academy of Engineering\Bet365 games

Bet365 games location: Shengzhao back building of the school headquarters409 #Tencent Bet365 games:542-757-924

Bet365 games time:2024Year1month15 (Monday)morning9:00-10:30

Bet365 games title:Intelligent Bet365 games for 6G

Bet365 games Summary:The fusion of digital and real worlds in all dimensions will be the driving force for future sixth-generation (6G) wireless systems. Ubiquitous in-time and on-time communication services between humans, machines, robots, and their virtual counterparts are essential, and they expand Bet365 games the ground to air, space, underground, and deep sea. 6G systems are not only data pipelines but also large-scale distributed computing systems with integrated sensing, processing, storage, communication and computing capabilities. The current network protocol architecture cannot handle challenges to build ubiquitous and intelligent 6G systems, dealing with stringent quality-of-service (QoS) requirements, providing a rich set of communication modes, including unicast, multicast, broadcast, in-cast, and group-cast, and supporting user-centric mobile applications. In this talk, we promote a new protocol architecture that can leverage in-network intelligence to provide a wide range of control functions for different types of 6G applications and networking environments. Its design principles, potentials, and open issues are discussed.


About the speaker:Dr. Lin Cai is a Bet365 games with the E&CE Department at the University of Victoria. She is an NSERC Steacie Memorial Fellow, a CAE fellow, an EIC Fellow, an IEEE Fellow, an RSC College member, and a 2020 “Star in Computer Networking and Communications” by N2Women. Her research interests span several areas in communications and networking, with a focus on network protocol and architecture design supporting ubiquitous intelligence.



Reporter Dr Yansha Deng, Reader (Associate Bet365 games) at King’s College London

Bet365 games location: Shengzhao back building of the school headquarters409 #Tencent Bet365 games:542-757-924

Bet365 games time:2024Year1month15 (Monday)morning10:30-12:00

Bet365 games title:Task-oriented Semantics-aware Bet365 games in 6G Era

Bet365 games Summary:Inspired by Shannon’s classic information theory, Weaver and Shannon proposed a more general definition of a communication system involving three different levels of problems, namely, (i) transmission of bits (the technical problem); (ii) semantic exchange of transmitted bits (the semantic problem); and (iii) effect of semantic information exchange (the effectiveness problem). The first level of communication, which is the transmission of bits, has been well studied and realized in conventional communication systems based on Shannon’s bit-oriented technical framework. However, with the massive deployment of emerging devices, including Extended Reality (XR) and Unmanned Aerial Vehicles (UAVs), diverse tasks with stringent requirements pose critical challenges to traditional bit-oriented Bet365 games, which are already approaching the Shannon physical capacity limit. This imposes the Sixth Generation (6G) network towards a communication paradigm shift to semantic level and effectiveness level by exploiting the context of data and its importance to the task. An explicit and systematic communication framework incorporating both semantic level and effectiveness level has not been proposed yet. Thus, my talk will discuss our recent results related to task-oriented Bet365 games for future 6G wireless networks, where I will focus on task-oriented and semantics-aware communication solutions for the virtual reality data type, control and command data, and machine learning model parameters.


About the speaker:Dr Yansha Deng is currently a Reader (Associate Bet365 games) in the Department of Engineering at King’s College London, London, United Kingdom. She received her Ph.D. degree in electrical engineering from the Queen Mary University of London, U.K., in 2015. From 2015 to 2017, she was a Post-Doctoral Research Fellow with King’s College London, U.K. She has secured more than £2.6 million of research funding as the principal investigator and has received the EPSRC NIA award. She has published 110+ journal papers and 60+ IEEE/ACM conference papers. Her research interests include molecular communication and machine learning for 5G/6G wireless networks. She was a recipient of the Best Paper Awards from ICC 2016 and GLOBECOM 2017 as the first author, and the IEEE Communications Society Best Young Researcher Award for the Europe, Middle East, and Africa Region 2021. She has been the Senior Editor of IEEE Communications Letters since 2020, the Associate Editor of IEEE Transactions on Communications since 2017, the Associate Editor of IEEE Communications Surveys and Tutorials since 2022, the Associate Editor of IEEE Transactions on Machine Learning in Communications and Networking since 2022, the Associate Editor of IEEE Transactions on Molecular, Biological and Multi-scale Communications since 2019, the Associate Editor of IEEE Open Journal of Communications Society since 2019 and the Vertical Area Editor of IEEE Internet of Things Magazine since 2021.


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