computational.science April 2021

computational.science@lists.iccsa.org

14 participants
23 discussions

European Vision for AI 2021 - 22 April 2021 - 11am-1pm
by Ioanna Koroni 19 Apr '21

19 Apr '21

European Researchers organize the "European Vision for AI" event for the General Public about the Present and Future of Artificial Intelligence in Europe The European scientific community will share with the general public their actions towards moving European Artificial Intelligence (AI) forward, to future success in a growing competition environment with countries such as the US or China, in the "European Vision for AI'' event. The online discussions are scheduled for Thursday 22 April 2021 and organized by the <https://www.vision4ai.eu/> VISION project partners in cooperation with four networks of AI centres of excellence (AI4Media <https://www.ai4media.eu/> , ELISE <https://www.elise-ai.eu/> , TAILOR <https://tailor-network.eu/> , Humane-AI-Net <https://www.humane-ai.eu/> ). These networks were launched within the European Union's Horizon 2020 Program in September 2020 and are bringing together scientists across Europe. In the event, European citizens with an interest in AI will gain an overview of Europe's position in the field of AI and how this impacts Europe's economy and society. The "European approach to AI" that is currently being promoted brings together excellence and trust, with the goal of creating a world-leading ecosystem committed to the "AI for Good" and "AI for All" concepts. Since this event is coordinated with, and closely linked to, the official announcement on new regulations and further investment in AI, scheduled by the European Commission in this week, the event will represent one of the first opportunities for public discussion on these new plans at the European level. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project sees this event as a step towards closer communication of the European AI community with the general public: "We aim to get young people, researchers, innovators, companies, and policy makers, at least virtually, around one table and discuss ambitious European plans for AI as well as the emerging ecosystem of AI excellence." Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) and event panelist on 'Skills & Training' believes that: "AI education should be anthropocentric and tuned to form true thinkers and Knowledge Society citizens. A major education overhaul is needed, combining scientific basis and classical studies, to support AI excellence for an European AI brand." Starting at 11am, the event will be fully online, streamed at <http://event.vision4ai.eu> event.vision4ai.eu for free and with no prior registration. The program will be conducted in English. The public will be able to enter discussions via chat. Participants will also get the opportunity to choose from three parallel sessions focusing on society, industry and skills & training, depending on their particular interests. About organisers This event is organised by the consortium of partners of the project VISION (www.vision4ai.eu <http://www.vision4ai.eu> ), the coordination and support action (CSA) awarded under the <https://cordis.europa.eu/programme/id/H2020_ICT-48-2020> H2020-ICT-48-2020 call. The aim of VISION is to reinforce, interconnect and mobilise Europe's AI community. Europe has been investing in the European model of AI, with a new set of four <https://www.vision4ai.eu/community/> European networks of AI excellence centres. Launched in September 2020, these four networks of excellence centres - AI4Media, ELISE, HumanE-AI-Net and TAILOR - are now working on various aspects of trustworthy, human-centric AI. In parallel to these efforts, the VISION project aims to create connections, synergy and joint initiatives between these networks as well as with key stakeholders across Europe. These projects are key components in the European Commission's AI strategy. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) and AI4Media project -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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2nd Call For Workshops - 37th International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 15 Apr '21

15 Apr '21

========================================================================= CALL FOR WORKSHOPS ========================================================================= The 37th International Conference on Logic Programming (ICLP 2021) https://iclp2021.dcc.fc.up.pt/ September 20--27, 2021 Fully virtual event organized by the Department of Computer Science of the University of Porto. ========================================================================= The ICLP conference series has a long standing tradition of hosting a rich set of co-located workshops. ICLP workshops provide a unique opportunity for the presentation and discussion of work that can be preliminary in nature, novel ideas, and new open problems to a wide and interested audience. Co-located workshops also provide an opportunity for presenting specialized topics and opportunities for intensive discussions and project collaboration. The topics of the workshops co-located with ICLP 2021 can cover any areas related to logic programming (e.g., theory, implementation, environments, language issues, alternative paradigms, applications), including cross-disciplinary areas. However, any relevant workshop proposal will be considered. The format of the workshop will be decided by the workshop organizers, but ample time should be allowed for general discussion. Workshops can vary in length, but the optimal duration will be half a day or a full day. Workshop Proposals ****************** Those interested in organizing a workshop at ICLP 2021 are invited to submit a workshop proposal. Proposals should be in English and about two pages in length. They should contain: ** The title of the workshop; ** A brief technical description of the topics covered by the workshop; ** A discussion of the timeliness and relevance of the workshop; ** A list of any related workshops held in the last years; ** The estimated length of the workshop and an estimate of the number of expected attendees; ** The names, affiliation and contact details (email, web page, phone) of the workshop organizers together with a designated contact person; ** Previous experience of the workshop organizers in workshop/conference organization. Proposals are expected in text or PDF format. All proposals should be submitted to the Workshop Chair by email by May 3rd, 2021. Reviewing Process ***************** Each submitted proposal will be reviewed by the Workshop, Program and General Chairs. Proposals that appear well-organized and that fit the goals and scope of ICLP will be selected. The decision will be notified by email to the responsible organizer by May 10th, 2021. The definitive length of the workshop will be planned according to the number of submissions received by the different workshops. For every accepted workshop, the ICLP local organizers will prepare meeting facilities. The workshops and the conference organizers will collaborate in establishing a uniform approach to produce proficient and accessible proceedings for the workshops. Workshop Organizers' Tasks ************************** ** Producing a "Call for Papers" for the workshop and posting it on the Internet and other means. A web page URL should be provided by May 15th, 2021, and will be published on the ICLP 2021 home page; ** Providing a brief description of the workshop for the conference program; ** Reviewing/accepting submitted papers; ** Scheduling workshop activities in collaboration with the local organizers and the Workshop Chair; ** Providing a workshop program in a format specified by the conference organizers for posting by August 31st, 2021; ** Coordinating the preparation of the workshop proceedings according to the specifications provided by the Workshop Chair. Location ******** Workshops will be virtually collocated with ICLP 2021. See the ICLP 2021 web site (https://iclp2021.dcc.fc.up.pt/) for further details. Important Dates (Tentative) *************************** ** May 3rd, 2021: Proposal submission deadline ** May 10th, 2021: Notification ** May 15th, 2021: Deadline for receipt of CfP and workshop web page URL ** August 18th, 2020: Deadline for acceptance notification to paper authors ** August 31st, 2020: Deadline for workshop program Submissions *********** Please submit your workshop proposals by email to the Workshop Chair. Workshop Chair ************** Nicos Angelopoulos https://www.cardiff.ac.uk/people/view/2436650-angelopoulos-nicos =========================================================================

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2nd Call For Papers - 37th International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 15 Apr '21

15 Apr '21

========================================================================= CALL FOR PAPERS ========================================================================= The 37th International Conference on Logic Programming (ICLP 2021) https://iclp2021.dcc.fc.up.pt/ Fully virtual event organized by the Department of Computer Science of the University of Porto. Besides the main track, ICLP 2021 will host additional tracks and special sessions. In attach, follows the CFP for the Applications Track and for the Recently Published Research Track. ========================================================================= Scope ***** Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming. Contributions are sought in all areas of logic programming, including but not restricted to: ** Foundations:Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. ** Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Compilation, Virtual machines, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. ** Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cybersecurity, Robotics, Education. Tracks and Special Sessions *************************** Besides the main track, ICLP 2021 will host additional tracks: ** Applications Track: this track invites submissions of papers on emerging and deployed applications of LP, describing all aspects of the development, deployment, and evaluation of logic programming systems to solve real-world problems, including interesting case studies and benchmarks, and discussing lessons learned. ** Recently Published Research Track: this track provides a forum to discuss important results related to logic programming that appeared recently (from January 2019 onwards) in selective journals and conferences, but have not been previously presented at ICLP. Each track will have its own dedicated chairs, PC and evaluation criteria. The attached CFPs specify the submission details. ICLP 2021 will also host: ** MentorLP - Mentoring Workshop on Logic Programming: the purpose of MentorLP is to support students and newcomers to pursue careers in logic programming research. This workshop will hold technical sessions on cutting-edge research in logic programming, and mentoring sessions on how to prepare and succeed for a research career. We will have leaders in logic programming research from academia and industry to give talks on their research areas. We will also have live discussions among participants on how to overcome challenges and make contributions to the research community. MentorLP is dedicated to fostering and supporting diversity, equity, and inclusion. We especially encourage members of underrepresented groups to attend. ** Fall School on Logic and Constraint Programming: the school is suited for those who wish to learn advanced topics in logic programming and constraint programming. It will consist of a series of half-day tutorials. ** Doctoral Consortium: the Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. ** Tutorials and Co-located Workshops. Important Dates *************** ** Abstract registration (regular papers): May 3, 2021 ** Paper submission (regular paper): May 10, 2021 ** Notification to authors (regular paper): June 27, 2021 ** Paper Submission (short papers): July 4, 2021 *+ Revision submission (TPLP papers): July 14, 2021 ** Final notifications (all paper kinds): July 30, 2021 ** Camera-ready copy due (all paper kinds): August 10, 2021 ** Conference: September 20--27, 2021 Submission Details ****************** Expected submissions to the main track (for the additional tracks, please follow the specific CFP): ** Regular papers (14 pages in TPLP format, including references) must describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings. The accepted regular papers will be published in TPLP, along with the selected ICLP-TPLP papers. The program committee may recommend some regular papers to be published as technical communications (TCs), along with the selected ICLP-TC papers. The authors of the TCs can also elect to convert their submissions into extended abstracts (2 or 3 pages) for inclusion in the proceedings. This should allow authors to submit a long version elsewhere. ** Short papers (7 pages in EPTCS format (http://info.eptcs.org/), including references) can describe published research. The accepted short papers that describe original and previously unpublished work will be published as TCs, along with the selected ICLP-TC papers. The accepted short papers that describe published research will be made available at the conference webpage, with the permission of the authors. All accepted regular papers and technical communications will be presented during the conference. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. All submissions must be written in English. Submissions will be done via EasyChair. The submission Web page for ICLP2021 is https://easychair.org/conferences/?conf=iclp2021 Organization ************ ** General Chair Ricardo Rocha, University of Porto, Portugal ** Program Chairs Andrea Formisano, University of Udine, Italy Y. Annie Liu, Stony Brook University, USA ** Organizing and Publicity Chair Miguel Areias, University of Porto, Portugal ** Applications Track Alex Brik, Google Inc., USA Joost Vennekens, KU Leuven, Belgium ** Recently Published Research Track Gian Luca Pozzato, University of Genova, Italy Neng-Fa Zhou, CUNY Brooklyn College and Graduate Center, USA ** MentorLP - Mentoring Workshop on Logic Programming Veronica Dahl, Simon Fraser University, Canada Paul Fodor, Stony Brook University, USA ** Workshop Chair Nicos Angelopoulos, Cardiff University, UK ** Doctoral Consortium and Fall School Chairs Bart Bogaerts, Vrije Universiteit Brussel, Belgium Carmine Dodaro, University of Calabria, Italy ** Programming Contest Chair Mario Alviano, University of Calabria, Italy Program Committee ***************** Agostino Dovier, University of Udine, Italy Alicia Villanueva, Universitat Politècnica de València, Spain Allen van Gelder, University of California Santa Cruz, USA Antonius Weinzierl, Vienna University of Technology, Austria Carlos Olarte, Universidade Federal do Rio Grande do Norte, Brazil Chiaki Sakama, Wakayama University, Japan Ekaterina Komendantskaya, Heriot-Watt University, UK Enrico Pontelli, New Mexico State University, USA Esra Erdem, Sabanci University, Turkey Fangzhen Lin, Hong Kong University of Science and Technology Francesca Alessandra Lisi, University of Bari, Italy Francesco Ricca, University of Calabria, Italy German Vidal, Universitat Politècnica de València, Spain Giovambattista Ianni, University of Calabria, Italy Gopal Gupta, University of Texas, USA Inês Dutra, University of Porto, Portugal Jan Wielemaker, VU University of Amsterdam, Netherlands Jia-Huai You, University of Alberta, Canada Jorge Lobo, Pompeu Fabra University, Barcelona, Spain Jose F. Morales, IMDEA Software Institute, Spain Katsumi Inoue, National Institute of Informatics, Japan Konstantin Schekotihin, Alpen-Adria-Universität Klagenfurt, Austria Laura Giordano, Università del Piemonte Orientale, Italy Magdalena Ortiz, Vienna University of Technology, Austria Manuel Carro, Technical University of Madrid and IMDEA, Spain Manuel Hermenegildo, IMDEA and Universidad Politécnica de Madrid, Spain Manuel Ojeda-Aciego, University of Malaga, Spain Marcello Balduccini, Saint Joseph's University, USA Marco Gavanelli, University of Ferrara, Italy Marina De Vos, University of Bath, UK Mario Alviano, University of Calabria, Italy Martin Gebser, Alpen-Adria-Universität Klagenfurt, Austria Mauricio Osorio, Universidad de las Americas Puebla, Mexico Michael Gelfond, Texas Tech University, USA Michael Hanus, CAU Kiel, Germany Michael Kifer, Stony Brook University, USA Michael Leuschel, University of Dusseldorf, Germany Michael Thielscher, The University of New South Wales, Australia Mirek Truszczynski, University of Kentucky, USA Nicola Leone, University of Calabria, Italy Ondřej Lhoták, University of Waterloo, Canada Orkunt Sabuncu, TED University, Turkey Paul Tarau, University of North Texas, USA Pedro Cabalar,University of Corunna, Spain Roland Yap, National University of Singapore, Republic of Singapore Roman Barták, Charles University, Czech Republic Salvador Abreu, Universidade de Évora, Portugal Sarah Alice Gaggl, Technische Universität Dresden, Germany Stefan Woltran, Vienna University of Technology, Austria Stefania Costantini, University of L'Aquila, Italy Theresa Swift, Universidade Nova de Lisboa, Portugal Thomas Eiter, Vienna University of Technology, Austria Thomas Meyer, University of Cape Town, South Africa Toby Walsh, University of New South Wales, Australia Tom Schrijvers, KU Leuven, Belgium Tomi Janhunen, Tampere University, Finland Torsten Schaub, University of Potsdam, Germany Tran Cao Son, New Mexico State University, USA Tuncay Tekle, Stony Brook University, USA Vitor Santos Costa, University of Porto, Portugal Viviana Mascardi, University of Genova, Italy Vladimir Lifschitz, University of Texas, USA Wolfgang Faber, Alpen-Adria-Universität Klagenfurt, Austria ========================================================================= Any additional question can be directed towards ICLP Chairs: iclp2021(a)easychair.org =========================================================================

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Live e-Lecture by Prof. Nicu Sebe: “Image and Video Generation: A deep Learning Approach”', 20th April 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 15 Apr '21

15 Apr '21

Dear AI scientist/engineer/student/enthusiast, Prof. Nicu Sebe (University of Trento, Italy), a prominent AI researcher internationally, will deliver the e-lecture: ‘Image and Video Generation: A deep Learning Approach’, on Tuesday 20th April 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/99459774837 & Passcode: 649253 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, ELISE <https://www.elise-ai.eu/> , Humane AI Net <https://www.humane-ai.eu/> , TAILOR <https://tailor-network.eu/> , VISION <https://www.vision4ai.eu/> , 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. Anibal Ollero (University of Seville, Spain), 4th May 2021 17:00 – 18:00 CET. 2. Prof. John Shawe-Taylor (University College London, UK), 18th May 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 email lists AIDA email list <https://lists.auth.gr/sympa/info/aida> and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Final Call: CFP: FiCloud 2021
by FiCloud Conference 12 Apr '21

12 Apr '21

---------------------Call for Papers - Final Call ------------------------------ The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2021) IEEE-CS TCI 23-25 August 2021, Online (Virtual) http://www.ficloud.org/2021/ ------------------------------------------------------------ Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning. The Internet of Things (IoT) provides a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: 1. Cloud Services Models 2. Security, Privacy and Trust 3. Software Systems, Models and Architectures 4. Blockchain in Cloud and IoT 5. Data and Knowledge Management 6. Context-aware Systems 7. Software-defined Networking 8. Performance Evaluation and Modelling 9. Networking and Communication Protocols 10. IoT Services and Applications 11. Smart Environment 12. Machine learning in Cloud and IoT 13. Energy Efficiency 14. Federation and Virtualization 15. Fog and Edge Computing 16. Industry Track 17. General Track – Future IoT and Cloud Computing Important Dates: Submission Deadline: 15 April 2021 (Firm) Authors Notification: 20 May 2021 Final Manuscript Due: 15 June 2021 Conference Venue: The organizing committee is carefully monitoring the Covid-19 situation. The safety and well-being of the conference participants is the main priority. The committee will confirm by Spring 2021 of whether to hold the conference onsite in Rome or as an online event. Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2020/). All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website).

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Phd and Postdoc positions (France)
by El-ghazali Talbi 12 Apr '21

12 Apr '21

The BONUS (Big Optimization and Ultra-scale Optimization -https://sites.google.com/view/bonus-research-group/) research group has three PhD and one post-doctoral proposals. The detailed decsriptions can be found following the Web links given below. - PhD Position F/M [Industrial collaboration] Multi-objective automated design of deep neural networks Details in pdf file enclosed - PhD Position F/M [Campagne doctorant 2021 - CRI Lille] Quantum-assisted optimization https://jobs.inria.fr/public/classic/fr/offres/2021-03448 - PhD Position F/M [Université de Lille - Université du Luxembourg] Productivity-aware parallel cooperative combinatorial optimization for ultra-scale supercomputers https://www.cristal.univ-lille.fr/sujets-these/details.html?id=50e6963dbe06… - Post-Doctoral Research Visit F/M [Campagne Post-doctorant 2021 - CRI Lille] Parallel surrogate-assisted optimization for automatic hyper-parameter and neural architecture search in Deep Learning (M/F) https://jobs.inria.fr/public/classic/fr/offres/2021-03418 Best regards, -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com -- L'absence de virus dans ce courrier électronique a été vérifiée par le logiciel antivirus Avast. https://www.avast.com/antivirus

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Invitation to join 2021 Spring School 'CVML Short Course - Machine Learning and Deep Neural Networks', 27-28th April 2021 (6th edition)
by Ioanna Koroni 12 Apr '21

12 Apr '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in this CVML Short e-course on 'Machine Learning and Deep Neural Networks', 27-28th April 2021: https://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-dee p-neural-networks/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Machine Learning and Deep Neural Networks' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation of Deep Neural Networks, which are at the forefront of AI advances today, starting with introduction to Machine Learning. Then the cornerstone DNN theory and technologies are presented: a) Artificial Neural Networks, Perceptron; b) Multilayer perceptron, Backpropagation; c) Deep neural networks. Both data classification and regression problems are treated. Convolutional NNs; d) Recurrent Neural Networks; e) Attention and Transformers. Applications follow in several image analysis, computer vision and autonomous system applications, notably: a) Deep learning for object detection and b) Deep Semantic Image Segmentation. Finally, Generative Adversarial Networks are presented that promise to revolutionize the way we create media/arts, while seriously threatening our democracy with fake data creation and spread. Part B lectures (8 hours) provide fan in-depth presentation of Machine Learning to complement DNNs. Unsupervised Learning (Data Clustering) is first detailed, allowing us to find structure and extract concepts/knowledge from huge high-dimensionality data. Then Supervised Learning (Data Classification) techniques are presented, notably: a) Decision surfaces (whose special case is DNNs and SVMs) and b) Distance based classification. Dimensionality reduction techniques are overviewed, allowing us to visualize high-dimensionality data found in most applications, ranging from Medicine to Financial Engineering. Kernel methods are presented that can boost performance of any linear ML operation (e.g., PCA, K-means etc). Bayesian learning provides a unified theoretical framework that can encompass many of the ML approaches. Deep Reinforcement Learning is also presented, as it is an essential element in novel Robotics/Control and other decision-making application domains. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Deep Neural networks (first day, 8 lectures) 1. Introduction to Machine Learning 2. Artificial Neural Networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Recurrent Neural Networks. LSTMs 6. Attention and Transformers 7. Deep learning for object detection 8. Deep Semantic Image Segmentation Part B: Machine Learning. Pattern Recognition (second day, 8 lectures) 1. Generative Adversarial Networks 2. Data Clustering 3. Decision Surfaces. Support Vector Machines 4. Dimensionality Reduction 5. Kernel Methods 6. Bayesian Learning 7. Deep Reinforcement Learning 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on 'Computer Vision for Autonomous Systems' 5-6th May 2021: http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-systems/ You can use the following link for course registration: http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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IEEE HiPC 2021 Programming Contest Call For Participation
by sanmukh＠hipc.org 04 Apr '21

04 Apr '21

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IEEE HiPC 2021 Call For Papers
by sanmukh＠hipc.org 04 Apr '21

04 Apr '21

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2021 CALL FOR PAPERS ********************************************************************** 28th IEEE International Conference on High Performance Computing, Data, and Analytics 17–20 December 2021 in Bangalore, India https://hipc.org/ PROGRAM CHAIRS HPC: Ana Lucia Varbanescu, University of Amsterdam, The Netherlands (a.l.varbanescu(a)uva.nl) Data Science: Yogesh Simmhan, Indian Institute of Science, India (simmhan(a)iisc.ac.in) HPC TRACKS Algorithms: Sanjukta Bhowmick, University of North Texas, USA Applications: Abhinav Bhatele, University of Maryland, USA Architecture: Michela Becchi, North Carolina State University, USA System Software: Sathish Vadhiyar, Indian Institute of Science, India DATA SCIENCE TRACKS Scalable Algorithms and Analytics: Zeyi Wen, University of Western Australia, Australia Scalable Systems and Software: Min Si, Argonne National Laboratory, USA HiPC 2021 will be the 28th edition of the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the six tracks listed under the two broad themes of High Performance Computing and Data Science. Up to two best paper awards will be given for outstanding contributed papers. HIGH PERFORMANCE COMPUTING Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models). Architecture. This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * High performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); * Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications. This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): * Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.); * Methods, algorithms, and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore); * Application benchmarks and workloads for parallel and distributed platforms. Systems Software. This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). SCALABLE DATA SCIENCE Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); * Scalable algorithms that ensure the transparency and fairness of the analysis; * Case studies, experimental studies, and benchmarks for scalable algorithms and analytics; * Scaling and accelerating machine learning, deep learning, and computer vision applications. Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale and related advances. Examples of topics of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Abstract Submission Deadline: 4 June, 2021 Paper Submission Deadline: 11 June, 2021 Notification of Initial Decisions: 27 August, 2021 Deadline for Revised Submission: 17 September, 2021 Notification of Final Decisions: 1 October, 2021 Camera Ready Due (for all accepted papers): 15 October, 2021 MANUSCRIPT AND SUBMISSION GUIDELINES Abstracts of no more than 300 words must be submitted by the abstract submission deadline. The title and abstract submitted by this deadline should have sufficient detail and not just be a placeholder. Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. The submitted paper should list the authors and their affiliations. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here. Electronic submissions must be in the form of a readable PDF file. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers must be submitted under one of the 6 technical tracks listed above. The topics listed under each track are representative, but not exhaustive. A published proceeding will be available at the conference. Authors may contact the Program Chair at the email address above for further information or clarification. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper in person is a requirement of publication for a physical conference. Depending on how the COVID-19 pandemic situation evolves, the presentation may be in person or in a virtual format. Details of these will be specified at the time of paper acceptance. Any paper not meeting requirements will not be included in the conference proceedings under IEEE Xplore. Authors of selected high-quality papers in HiPC 2021 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing. Submit your paper: https://easychair.org/conferences/?conf=hipc2021. REVIEW PROCESS All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper, for example in a separate paragraph in the introduction of the paper. The review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period. The initial decision for the submission may be Accept, Reject or Revise. Papers that are recommended for revision will have to address the comments from the reviewers, and submit a revised article along with a summary of changes. This will go through a light review and the final decision will be communicated.

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ICCSA 2021: Computational Optimization and Applications - deadline extended
by Ana Rocha 03 Apr '21

03 Apr '21

Dear colleague, Extended deadline for submission to the: Computational Optimization and Applications (COA 2021) Workshop of the 21th International Conference on Computational Science and Applications (ICCSA 2021, <http://www.iccsa.org/> http://www.iccsa.org/) will be held on July 5 - 8, 2021 in collaboration with the University of Cagliari, Italy, in blended form. Like last year, ICCSA 2021 offers the possibility of online-only participation (with reduced registration fees). But we are also planning to offer the possibility of in-presence participation, should the pandemic situation allow it, by setting up a blended experience for mixed online/in-presence sessions. IMPORTANT DATES - deadline extended ================ March 28, April 25, 2021: Deadline for abstract and paper submission to the COA Workshop April 18, May 30, 2021: Notification of Acceptance. May 10, June 20, 2021: Submission deadline for the final version of the Proceeding Papers May 10, June 20, 2021: Early-bird Registration ends. July 5-8, 2021: ICCSA 2020 Conference TOPICS ====== The scope of the Workshop is to bring together scientists working in Computational Optimization and its applications in science and engineering. Topics of interest include (but are not limited to): * Computational Optimization: new issues in computational algorithms for continuous and discrete optimization; deterministic and stochastic algorithms, nature-inspired algorithms and other metaheuristic algorithms for solving optimization problems. * Applications: case studies in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. PROCEEDINGS ============ The proceedings of the COA 2021 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, <http://www.springer.com/gp/computer-science/lncs> http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: <http://ess.iccsa.org/> http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site ( <http://www.iccsa.org/instructions-for-authors> http://www.iccsa.org/instructions-for-authors ) If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZERS =========== * Ana Maria A. C. Rocha ( <mailto:arocha@dps.uminho.pt> arocha(a)dps.uminho.pt), <http://www.dps.uminho.pt/> Dep. of Production and Systems (University of Minho), <http://algoritmi.uminho.pt/> ALGORITMI Center (University of Minho), Portugal * Humberto Rocha ( <mailto:hrocha@fe.uc.pt> hrocha(a)fe.uc.pt), <https://www.uc.pt/en/feuc> Faculty of Economics (University of Coimbra), <https://www.uc.pt/en/uid/ceber> CeBER (University of Coimbra), Portugal If you have some doubts or problems so not hesitate to contact the organizers. Best regards, Ana Maria A. C. Rocha and Humberto Rocha (COA 2021 organizers)

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