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It is undeniable that artificial intelligence and machine learning algorithms are at the heart of a fast-growing number of new telecommunication technologies. With our panel of experts, we will explore a variety of IP protection strategies that include copyrights, trade secrets and patents, as well as their applicability to data and AI technologies.
We have often spoken of the "flaws" in public policies and regulatory frameworks of states or cities as so many opportunities for imaginative entrepreneurs to create disruptive businesses (think of Airbnb or Uber for example). But the flip side is that much often, these same public policies do not keep pace with the increasingly rapid pace of changing technological innovations or business models in such a way that they constitute a constraint or even a brake on their development. Imagine, just a little, the spaghetti of regulations of all kinds, from local, regional or national authorities, faced by those who want to test, in the public space, a prototype of an autonomous vehicle, for example, in an urban environment. Hell! Our three panelists have had to deal or are currently dealing with this type of context and will share their observations, the lessons they have learned from them as well as some possible solutions, both for those who want to innovate and for public decision-makers.
Internet traffic is undergoing constant change. One prominent example is the COVID-19 outbreak, a global pandemic, in March 2020. As a result, billions of people were either encouraged or forced by their governments to stay home to reduce the spread of the virus. This caused many to turn to the Internet for work, education, social interaction, and entertainment. With the Internet demand rising at an unprecedented rate, the question of whether the Internet could sustain this additional load emerged. To answer this question, we review the impact of the first year of the COVID-19 pandemic on Internet traffic. Next, we will take a look at the rise of IoT devices and their traffic patterns. Bio: Anja Feldmann studied CS in Paderborn, Germany and continued her studies at Carnegie Mellon University, where she earned her Ph.D in 1995. The next four years she did research work at AT\&T Labs Research, before taking professor positions at Saarland University, the TU Munich, and the TU Berlin. In May 2012, she was elected the first woman on the employer side of the Supervisory Board of SAP. Since the 2018, Anja is a director at the Max Planck Institute for Informatics in Saarbrücken, Germany. Her current research interests include Internet measurement, traffic engineering and traffic characterization, network performance debugging, and network architecture. She has published more than 70 papers and has served on more than 60 program committees, including as Co-Chair of ACM SIGCOMM 2003 and ACM IMC 2011 and as Co-PC-Chair of ACM SIGCOMM 2007, ACM IMC 2009, ACM HotNets 2014, and ACM CoNext 2020. She is a recipient of the Gottfried Wilhelm Leibniz Preis, the Berliner Wissenschaftspreis, the Schelling Preis, and the Vodafone Innovation Award. She is a member of the German Academy of Sciences Leopoldina, the BBAW, and acatech.
Traditional network’s “best-effort” forwarding gradually fails to meet the needs of booming real-time applications, such as industrial internet, vehicle networking and artificial intelligence, etc. Time-sensitive and deterministic networking has become a promising technology to achieve strict QoS guarantees, such as bounded end-to-end latency and jitter, and higher reliability. However, as the massive deployment of time-sensitive and deterministic networking, it also brings many challenges, such as synchronous and asynchronous scheduling and shaping mechanisms and so on. Thus the Workshop on “Time-sensitive and Deterministic Networking” gives the opportunity to gather the researchers from the academia and industry in order to investigate the challenges and identify the further directions for the ultra-reliable and low latency communication.
5G networks and devices are now a reality with wide deployment and spread among population, but the demand for more data rate is still booming, and will soon need for a newer generation for wireless/cellular communication, the 6G. It will be a new standard that not only provides huge data rate (+1Tbps) and extremely low delay (0.1ms), but also will enable the “hyper-connected” paradigm that will connect users and things. Artificial Intelligence (AI) will play a major role within 6G, and thus more computation and communication resources will be consumed, where their optimization is a must. 6G communications will bring new challenges due to their sensitivity to scenario conditions, thereby requiring highly adaptive techniques that will adapt extremely fast, in order to guarantee a delay less than 100 microseconds. Spectrum and resources management will be crucial within 6G in order to account for the extremely heterogeneous scenario. The networks complexity will also be unprecedented, due to the very diverse applications such as ultra‐low latency requirements for critical vehicle communication, the growing demand of high positioning accuracy for location‐based services, and dense heterogeneous architectures. Several emerging topics are encountered within 6G and this workshop will focus on such emerging topics, and potential solutions will be presented. Researchers and engineers from academia and industry are invited to submit their recent results and innovations.
5G networks and devices are now a reality with wide deployment and spread among population, but the demand for more data rate is still booming, and will soon need for a newer generation for wireless/cellular communication, the 6G. It will be a new standard that not only provides huge data rate (+1Tbps) and extremely low delay (0.1ms), but also will enable the “hyper-connected” paradigm that will connect users and things. Artificial Intelligence (AI) will play a major role within 6G, and thus more computation and communication resources will be consumed, where their optimization is a must. 6G communications will bring new challenges due to their sensitivity to scenario conditions, thereby requiring highly adaptive techniques that will adapt extremely fast, in order to guarantee a delay less than 100 microseconds. Spectrum and resources management will be crucial within 6G in order to account for the extremely heterogeneous scenario. The networks complexity will also be unprecedented, due to the very diverse applications such as ultra‐low latency requirements for critical vehicle communication, the growing demand of high positioning accuracy for location‐based services, and dense heterogeneous architectures. Several emerging topics are encountered within 6G and this workshop will focus on such emerging topics, and potential solutions will be presented. Researchers and engineers from academia and industry are invited to submit their recent results and innovations.