February 2021 - address-policy-wg

Internet access via different countries
by Fernando Cuartero 18 Feb '21

18 Feb '21

Hi, I am unsure if it is possible for UEs to exit to internet via different countries, Netherlands (DCP2) and Sweden (DCP1), using the same public IPv4/IPv6 address or if each country should have different public IPv4/IPv6 pools. Is there any regulation about that? [cid:image001.png@01D7062B.65C7C3F0] BR, Fernando

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IPv4 Request
by Sales 12 Feb '21

12 Feb '21

Greetings, We're looking to lease a large quantity of IPv4 addresses, long term for our global web hosting business (est 2004). We're looking for easily /16 or larger block, even /14 if available. We can take multiple mixed sized subnets too, that's fine. We require ability to update whois, route objects, DNS and provide LOA for global provisioning. We're members with ARIN and RIPE. ARIN MNT: LOGIC-25 RIPE MNT: LOGICWEB PUBLIC ASN: 64286 We can sign a 1+ year agreement paid 1st of each month. We're willing to do even 3 or 5 years. Please let us know your subnets available and pricing.

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Live e-lecture by Prof. Efstratios Gavves: ‘The Machine Learning of Time: Past and Future’, 9th February 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 08 Feb '21

08 Feb '21

Dear AI scientist/engineer/student/enthusiast, Prof. Efstratios Gavves (University of Amsterdam, Netherlands), a prominent young AI researcher internationally, will deliver the e-lecture: ‘The Machine Learning of Time: Past and Future’, on Tuesday 9th February 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/93863728654 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media and <https://www.vision4ai.eu/> Vision and Humane AI Net currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Pietro Perona, ‘Measuring algorithmic bias in face analysis — towards an experimental approach’, 23rd February 2021 17:00 – 18:00 CET. 2. Prof. Björn Schuller: ‘There will be Artificial Emotional Intelligence’, 9th March 2021 17:00 – 18:00 CET 3. Prof. Andreas Geiger, ‘Towards Robust End-to-End Driving’, 23rd March 2021 17:00 – 18:00 CET More lecture infos in: <http://www.i-aida.org/future-lectures/> http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. I. Pitas, N. Sebe, B. O’Sullivan, M. Chetouani AIDA AI Excellence lecture series committee -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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CfP for EUSIPCO 2021 Special Session "Image and video analysis for autonomous drones" (Deadline February 12, 2021)
by Ioanna Koroni 05 Feb '21

05 Feb '21

Dear drone imaging scientists and engineers, you are invited to submit an original, unpublished technical paper to the Special Session "Image and video analysis for autonomous drones" of EUSIPCO 2021: https://eusipco2021.org/. Conference submission deadline is February 12, 2021. Autonomous Unmanned Aerial Vehicles (UAVs, or drones) are becoming more and more important to many industries, promising simplified logistics, cost reductions, increased safety for humans, quicker response times and more accurate results, when compared to traditional procedures. Drones are highly useful thanks to their easy deployment, their aerial point-of-view and their ability to access difficult-to-reach spaces. Recent advances in aerial robotics and AI have already pushed drone automation to an unprecedented degree in various application domains, such as infrastructure inspection and maintenance, aerial cinematography, search and rescue operations, etc. Manipulation, processing, analysis and learning of visual signals lie at the forefront of this revolution. This special session will consider current research in this interdisciplinary subject, aiming to bring together researchers working on image/video analysis and experts in aerial robotics. Topics of interest may include, among others: - Embedded computer vision - Deep learning for image/video analysis - Multimodal perception - Sensor and data fusion - Fault and anomaly detection in drone footage - Subcentimeter-accuracy inspection - Autonomous drone cinematography - Vision-based localization and mapping - Vision-based drone navigation/control - Vision-based human-drone interaction This Special Session concerns a very timely topic with high industrial potential, given that fully/semi- automated drones are slowly emerging as a viable alternative to manually teleoperated ones, thanks to recent advances in robotics and AI. A lot of underlying cognitive functionalities that enable such autonomy, particularly the ones facilitating drone perception, rely on advanced image/video analysis methods for achieving their goals, making this a highly interdisciplinary topic of exceptional interest both to imaging scientists and aerial robotics researchers. The Special Session is organized by Prof. I. Pitas and Dr. I. Mademlis, from the Artificial Intelligence and Information Analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece (AUTH), under the auspices of the EU-funded Horizon 2020 programme AERIAL-CORE (https://aerial-core.eu/). Relevant links: 1) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 2) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours, Prof. I. Pitas, Dr. Ioannis Mademlis, Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -- To unsubscribe from this group and stop receiving emails from it, send an email to imageclef+unsubscribe(a)sheffield.ac.uk.

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