June 2020 - computational.science

VHPC Zoom 25th of June Call for Participation: 15th Workshop on Virtualization in High-Performance Cloud Computing
by Michael Alexander 18 Jun '20

18 Jun '20

We cordially invite you to participate online in the 15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '20) Keynote: RedHat on Podman (a Docker alternative) for HPC Talks include: Google on Autopilot (Google internally used autoscaler) This year's focus is on: Orchestration (Kubernetes) Resource efficiency via auto-scaling (Autopilot / Google) Containers for HPC (Podman) Lightweight Virtualization / Unikernels The Workshop is being held online via Zoom. Participation is free with registration at https://us02web.zoom.us/webinar/register/WN_vC5pwmgbQ6ypJEfyQ8nHIg

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Expert Sessions: Projection Methods in Feasibility, Superiorization and Optimization – Theory and Practice
by Aviv Gibali 15 Jun '20

15 Jun '20

Dear all; Due to the Corona pandemic we had to cancel our June 24-26, 2020 planned workshop on “Projection Methods in Feasibility, Superiorization and Optimization – Theory and Practice” organized by the division of Optimization of the Fraunhofer Institute for Industrial Mathematics (ITWM) in Kaiserslautern, Germany. In order to keep in touch with our friends and colleagues in the scientific community, we establish a weekly Expert Session Webinar focusing on Projection Methods in Feasibility, Superiorization and Optimization - Theory and Practice. For more details please visit our webpage: https://www.leistungszentrum-simulation-software.de/en/news-events/Fairs_co… We hope that this initiative will help to explore and discuss opportunities for joint research projects. If you are interested please register at the above webpage to receive announcements and links of the talks. Aviv Gibali, Dirk Lorenz, Francisco Javier Aragón Artacho and Karl-Heinz Küfer (Organizers) ================================================== Assoc. Prof. Aviv Gibali Department of Mathematics, ORT Braude College<http://www.braude.ac.il/english/>, P.O. Box 78, Karmiel 2161002, Israel & The Center for Mathematics and Scientific Computation<http://math.haifa.ac.il/ccmsc/>, University of Haifa, Haifa, Israel Homepage: https://w3.braude.ac.il/lecturer/assoc-prof-aviv-gibali/ Office: +972-4-9086404 ==================================================

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[CFP] 15th Workshop on Workflows in Support of Large-Scale Science (WORKS20)
by Hoang Nguyen 11 Jun '20

11 Jun '20

Apologies if you receive multiple copies of this email!!! ======================================================================== Call For Papers 15th Workshop on Workflows in Support of Large-Scale Science (WORKS20) to be held in conjunction with SC 2020 and in cooperation with IEEE TCHPC Sun Nov 15, Atlanta, GA, USA https://works-workshop.org ======================================================================== Scientific workflows have been almost universally used across scientific domains and have underpinned some of the most significant discoveries of the past several decades. Workflow management systems (WMSs) provide abstraction and automation which enable a broad range of researchers to easily define sophisticated computational processes and to then execute them efficiently on parallel and distributed computing systems. As workflows have been adopted by a number of scientific communities, they are becoming more complex and require more sophisticated workflow management capabilities. A workflow now can analyze terabyte-scale data sets, be composed of one million individual tasks, require coordination between heterogeneous tasks, manage tasks that execute for milliseconds to hours, and can process data streams, files, and data placed in object stores. The computations can be single core workloads, loosely coupled computations, or tightly all within a single workflow, and can run in dispersed computing platforms. This workshop focuses on the many facets of scientific workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service, and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: scientific workflows representation and enactment; workflow scheduling techniques to optimize the execution of the workflow on heterogeneous infrastructures; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, scheduling and fault detection and tolerance. WORKS20 will be held in conjunction with the SuperComputing (SC20), Atlanta, Georgia, USA, at Georgia World Congress Center (GWCC). Topics ------ WORKS20 welcomes original submissions in a range of areas, including but not limited to: * Big Data analytics workflows * Data-driven workflow processing (including stream-based workflows) * Workflow composition, tools, and languages * Workflow execution in distributed environments (including HPC, clouds, and grids) * Reproducible computational research using workflows * Dynamic data dependent workflow systems solutions * Exascale computing with workflows * In Situ Data Analytics Workflows * Interactive workflows (including workflow steering) * Workflow fault-tolerance and recovery techniques * Workflow user environments, including portals * Workflow applications and their requirements * Workflow optimizations (including scheduling and energy efficiency) * Performance analysis of workflows * Workflow debugging * Workflow provenance * Machine Learning workflows Papers should present original research and should provide sufficient background material to make them accessible to the broader community. Important Dates --------------- Full paper deadline: August 15, 2020 Paper acceptance notification: September 15, 2020 E-copyright registration completed by authors: October 1, 2020 Camera-ready deadline: October 1, 2020 Workshop: November 15, 2020 --------------------------------- Submission Guidelines: Submissions are limited to 8 pages in the IEEE format (see https://www.ieee.org/conferences/publishing/templates.html) The 8-page limit includes figures, tables, appendices, and references. WORKS papers this year will be published in cooperation with TCHPC and will be available from IEEE digital repository. All submitted papers will undergo a rigorous review process and each will have at least three reviews by members of the program committee. Papers will be accepted based on their technical contributions. --------------------------------- Organizing Committee - Rafael Ferreira da Silva, University of Southern California, USA - Rosa Filgueira, University of Edinburgh, UK General Chair - Ian Taylor, Cardiff University, UK, University of Notre Dame, USA Steering Committee - David Abramson, University of Queensland, Australia - Malcolm Atkinson, University of Edinburgh, UK - Ewa Deelman, University of Southern California, USA - Michela Taufer, University of Tennessee Publicity Chair - Hoang Anh Nguyen, University of Queensland, Australia Program Committee (tentative) - Pinar Alper – King's College London, UK - Ilkay Altintas – SDSC, USA - Khalid Belhajjame Universit. Paris-Dauphine, France - Ivona Brandic – TU Wien, Austria - Kris Bubendorfer – VUW, New Zealand - Jesus Carretero – Universidad Carlos III de Madrid, Spain - Henri Casanova – University of Hawaii at Manoa, USA - Rafael Ferreira da Silva – USC/ISI, USA - Daniel Garijo – USC/ISI, USA - Sandra Gesing – University of Notre Dame, USA - Tristan Glatard – Concordia University, Canada - Daniel Katz – UIUC, USA - Tamas Kiss – University of Westminster, UK - Dagmar Krefting – HTW Berlin, Germany - Maciej Malawski – AGH UST, Poland - Anirban Mandal – RENCI, USA - Marta Mattoso – UFRJ, Brazil - Paolo Missier – Newcastle University, UK - Hoang Anh Nguyen, University of Queensland, Australia - Jarek Nabrzyski – University of Notre Dame, USA - Daniel de Oliveira – UFF, Brazil - Ilia Pietri, Intracom SA Telecom Solutions, Greece - Loic Pottier – USC/ISI, USA - Radu Prodan – University of Innsbruck, Austria - Omer Rana – Cardiff University, UK - Ivan Rodero – Rutgers University, USA - Rizos Sakellariou – University of Manchester, UK - Frédéric Suter – CNRS, France - Andrew Stephen Mcgough – Newcastle University, UK - Domenico Talia – University of Calabria, Italy - Douglas Thain – University of Notre Dame, USA - Rafael Tolosana-Calasanz – Universidad de Zaragoza, Spain - Chase Wu – NJ Institute of Technology, USA

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CFP: Resilience@Euro-Par 2020 - Papers due June 12 (REMINDER)
by Thomas Naughton 08 Jun '20

08 Jun '20

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 13th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> in conjunction with the 26th International European Conference on Parallel and Distributed Computing (Euro-Par), Warsaw, Poland August 24 - 28, 2020 <http://2020.euro-par.org> 2020 Workshop Format: Due to the exceptional situation of COVID-19, this year Euro-Par and its workshops will be organized as an all-virtual event. This includes the main conference and workshops. The accepted workshop papers must be presented by one of the authors in order to be included in the proceedings. There will be a single minimal registration fee for each accepted paper in order to cover expenses associated with organization and proceedings publication. Only one author per paper needs to register (150 euros). Lastly, the preferred presentation format for the workshop will be via a streaming presentation, with slides and pre-recorded video presentations used in exceptional situations. Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. 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 or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2020 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2020> - Resilience 2020 Submissions: <https://easychair.org/conferences/?conf=europar2020workshop> - Euro-Par 2020 website: <http://2020.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: June 12, 2020 (extended) - Workshop author notification: July 21, 2020 - Workshop author registration: TBA - Workshop paper (for informal workshop proceedings): July 21, 2020 - Workshop date: August 24 or 25, 2020 - Workshop camera-ready papers: September 11, 2020 (after the conference) General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - Robert Clay, Sandia National Laboratories, USA - Nathan DeBardeleben, Los Alamos National Laboratory, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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[High Performance Computing] Become a specialist!
by Master in HPC 02 Jun '20

02 Jun '20

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Release 0.11 of SARL agent programming language
by Stéphane Galland 02 Jun '20

02 Jun '20

Dear Colleagues. I'm glade to announce the major release of SARL version 0.11 ( www.sarl.io).SARL is a statically-typed agent-programming language. SARL aims at providing the fundamental abstractions for dealing with concurrency, distribution, interaction, decentralization, reactivity, autonomy and dynamic reconfiguration for multiagent systems. In addition to the traditional bug fixes, four major changes are available, and are briefly explained below. 1. Janus version 3Janus is the official SARL run-time environment (aka. SARL virtual machine). This release of SARL provides a MAJOR NEW IMPLEMENTATION of Janus with its version 3. In the past, the change from version 1 to version 2 was due to a total re-implementation of Janus in order to follow and support the SARL metamodel. This time, Version 3 of Janus is a total re-implementation with the SARL language, i.e. we have written the code with SARL not anymore with Java. The major benefits of the new implementation with the SARL language are: * Direct usage of the SARL concepts and statements; * Ability to generate the same SRE to different target platforms (Java, Python, etc.); * Proof-of-concept related to the capabilities of the SARL language to cover complex application’s implementation. In addition to the total re-implementation with SARL language, the software architecture of Janus was re-thinking and optimized in order to improve the global run-time performances of the SRE, and to be more modular in order to extend modules of Janus with new third-party modules (based on Bootique modules). 2. New types of participants in spacesFrom the SARL metamodel, spaces are entities in which the agents are able to interact or communicate. The agents that are part of a space are named participants. From our experience during the past years, different types of participants may be involved into a space. First, the agents constitute the largest part of these participants. Second, external software, such as an graphical user interface (GUI), may have to listen for events or emit them into a space in order to setup an interaction with the agents. Nevertheless, having only a single type of participant defined causes issues into the SARL run-time environment (SRE) when it is time to decide if a space should be destroyed or not. Indeed, the SRE is in charge of destroying the spaces when they are not used anymore (usually when there is no more agent inside). A problem occurs when all the agents have leaved the space, and only GUI remain. In this case, the SRE was not able to detect this case and to destroy the space. This issue could be seen because the SRE never stops to run, even when all the agents were killed. In order to solve this issue, two types of participants are defined: * Strong Participant: it corresponds to the regular meaning of a participant (and the default one). When a strong participant is involved into a space, the SRE cannot destroy the space. Typical strong participants are the application agents. * Weak Participant: it is a participant that is considered as optional by the SRE. In order words, when a space has only weak participants, it is considered as releasable by the SRE. Typical weak participants are GUI objects. Whatever the type of participant, they have the same level of abilities for using the space. For example, in the case of an event space, the strong and weak participants have all the abilities to emit events, and receive them. 3. New agent spawning APIThe spawning functions of the agents have encountered a big change: they are not replying anymore the unique identifier of the just spawned agents. Now, the spawning functions return void. This change was forced by the need to execute in parallel the different spawning processes when multiple agents are spawned at the same time. In this case, it is almost impossible to retreive the unique identifiers of the agents before returning from the spawning function. 4. New tool for SARL contributors: an Eclipse DSL with embedded SARLIn past, it was not so easy to install and set-up an complete and working development environment for the SARL contributors. It was due to the usage of different technologies such as Eclipse DSL, Java, Maven and Xtext. In order to have a ready-to-use environment, as much as possible, a specific Eclipse product is now available into the SARL project: sarl- dsl. This new product includes: * Regular Eclipse framework for domain specific language implementation, that includes: 1. Eclipse environment,Java development environment,Maven integration into Eclipse, andXtext libraries; * SARL compiler integration into Eclipse; * Janus run-time environment; * Eclipse Checkstyle. Enjoy SARL 0.11! -- Laboratoire Connaissance et Intelligence Artificielle Distribuées CIAD UMR 7533 Prof. Dr. Stéphane GALLAND Full Professor of Computer Science and Multiagent Systems Deputy Director of CIAD French Head of ARFITEC ARF-17-10 "Energy, Transport, Industry, Challenges for tomorrow" Senior member of the Multiagent Group Member of AFIA Université de Technologie de Belfort-Montbéliard - UBFC 13, rue Ernest Thierry-Mieg 90010 Belfort Cedex, FRANCE CIAD Lab: www.ciad-lab.fr Web: www.ciad-lab.fr/author-10836 Phone: +33 384 583 418 (work office) Mobile: +33 662 274 442 (private)

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Call for Papers: The 6th International Conference on Machine Learning, Optimization & Data Science – July 19-23, 2020 – Certosa di Pontignano, Siena, Italy - Paper Submission Deadline: June 4 (this Thursday)
by Ludovico Montalcini 01 Jun '20

01 Jun '20

Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees. The 6th International Conference on Machine Learning, Optimization, and Data Science – July 19-23, 2020 – Certosa di Pontignano, Siena – Tuscany, Italy An multidisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders From 2015, the LOD Conference brings academics, researchers and industrial researchers together in a unique multidisciplinary community to discuss the state of the art and the latest advances in the integration of machine learning, optimization and data science to provide the scientific and technological foundations for interpretable, explainable and trustworthy AI adopting, from 2017, the Asilomar AI Principles. The 6th Annual Conference on machine Learning, Optimization and Data science (LOD) is a international conference on machine learning, computational optimization, data science that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. The International Conference on Machine Learning, Optimization, and Data Science (LOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. We invite submissions of papers, abstracts, posters and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference proceedings – Springer Lecture Notes in Computer Science. LOD 2020 an On-Site & On-Line Conference! After numerous discussions, we have concluded that holding the event this year in mixed form both in presence (like previous editions) and virtual is more advantageous than postponing it until next year. In order to accommodate a large number of situations and constraints, we are offering the option for either physical presence or virtual participation. We would be delighted if all authors and participants manage to attend, but are aware that special circumstances are best handled by having flexible options. The Conference, hence, will be held in presence with virtual rooms for authors and participants using remote connection (e.g., Zoom or MS Teams). The online lectures (e.g., live presentations and/or recorded ones) will be made possible. W: https://lod2020.icas.xyz E: lod(a)icas.cc EC: https://easychair.org/conferences/?conf=lod2020 FB: https://www.facebook.com/groups/2236577489686309/ News: https://lod2020.icas.xyz/category/news/ Important Date: * Paper Submission Deadline: June 4 – Anywhere on Earth. * Early Registration: June 30 KEYNOTE SPEAKERS: * Pierre Baldi, University of California Irvine, USA Talk: TBA * Yoshua Bengio, Université de Montréal, Canada - A.M. Turing Award 2018 LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK Talk: TBA * Marco Gori, University of Siena, Italy Talk: TBA * Marta Kwiatkowska, University of Oxford, UK Talk: TBA (online talk) * Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany Talk: Machine Learning of Robot Skills (online talk) * Panos Pardalos, University of Florida, USA Talk: Inverse Combinatorial Optimization Problems * Tomaso Poggio, MIT, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Raniero Romagnoli, Almawave, Italy Talk: NLP for Close Domain Applications with Real World Data: an hybrid approach to jointly leverage prior domain knowledge, reasoning techniques and deep learning * Cristina Savin, Center for Neural Science, New York University, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Tali Tishby, The Hebrew University, Israel LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA More Keynote Speakers Coming soon! Tutorial Speakers * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Vincenzo Sciacca, Almawave, Italy Tutorial on "Natural Language Processing and Deep Learning" More Tutorial Speakers Coming soon! SATELLITE WORKSHOPS I) Satellite Workshop on "Biologically Plausible Learning" on July 19 https://lod2020.icas.xyz/workshop-on-biologically-plausible-learning/ Chair: Marco Gori, University of Siena, Italy Keynote Speaker: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Université de Montréal, Canada - A.M. Turing Award 2018 * Tomaso Poggio, MIT, USA * Cristina Savin, Center for Neural Science, New York University, USA * Tali Tishby, The Hebrew University, Israel Paper Submission Deadline: June 4 – Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 II) Workshop on “Integrative Machine Learning” Chair: Marco Gori, University of Siena, Italy https://lod2020.icas.xyz/workshop-on-integrative-machine-learning/ Paper Submission Deadline: June 4 – Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 SPECIAL SESSIONS: https://lod2020.icas.xyz/special-sessions/ * Big data in Economics and Finance Organized by the Big Data and Forecasting of Economic Developments project (bigNOMICS) of the Centre for Advanced Studies of the European Commission, Joint Research Centre. Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli * Industrial Session Chairs: Vincenzo Sciacca – Almawave, Giovanni Giuffrida – Neodata. * Special Session on Explainable Artificial Intelligence Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. https://robotics.sciencemag.org/content/4/37/eaay7120 * Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA) * The 7 Special Sessions on Machine Learning Multi-Task Learning Reinforcement Learning Deep Learning Generative Adversarial Networks Deep Neuroevolution Networks with Memory Learning from Less Data and Building Smaller Models * The 7 Special Session on Data Science and Artificial Intelligence Simulation Environments to understand how AI Systems Learn Chatbots and Conversational Agents Data Science at Scale & Data in the Cloud Urban Informatics & Data-Driven Modelling of Complex Systems Data-centric Engineering Data Security, Traceability of Information & GDPR Economic Data Science Special Session Paper Submission Deadline: June 4 – Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 BEST PAPER AWARD Springer sponsors the LOD 2020 Best Paper Award with a cash prize of 1,000 Euro. https://lod2020.icas.xyz/best-paper-award/ PROGRAM COMMITTEE 500+ confirmed PC members! Breaking the record of the last edition of LOD! https://lod2020.icas.xyz/program-committee/ BIG DATA CHALLENGE Our sponsor, Neodata Lab, will offer a prize of €2000 to the applicant who develops the most accurate algorithm to process the following problem. https://lod2020.icas.xyz/lod-2020-challenge/ See you in Siena next July! Best regards, LOD 2020 Organizing Committee W: https://lod2020.icas.xyz E: lod(a)icas.cc EC: https://easychair.org/cfp/LOD2020 FB: https://www.facebook.com/groups/2236577489686309/ T: https://twitter.com/TaoSciences L: https://www.linkedin.com/groups/12092025/ News: https://lod2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * Past Editions https://lod2020.icas.xyz/past-editions/

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