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<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*</span></span></span></span></p>
<p align="center" style="text-align:center"> </p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>******************************************************************</span></span></span></span></p>
<p align="center" style="text-align:center"> </p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>4<sup>th</sup> INTERNATIONAL SCHOOL ON DEEP LEARNING</span></span></strong></span></span></p>
<p align="center" style="text-align:center"> </p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>DeepLearn 20</span></span></strong><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>21 Summer</span></span></strong></span></span></p>
<p align="center" style="text-align:center"> </p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Las Palmas de Gran Canaria, Spain</span></span></strong></span></span></p>
<p align="center" style="text-align:center"> </p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>July 26-30, 2021</span></span></strong></span></span></p>
<p align="center" style="text-align:center"> </p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Co-organized by:</span></span></span></span></p>
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<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Department of Information Engineering</span></span></span></span></p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Marche Polytechnic University</span></span></span></span></p>
<p align="center" style="text-align:center"> </p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Institute for Research Development, Training and Advice – IRDTA</span></span></span></span></p>
<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Brussels/London</span></span></span></span></p>
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<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>https://irdta.eu/deeplearn2021s/</span></span></span></span></p>
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<p align="center" style="text-align:center"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>******************************************************************</span></span></span></span></p>
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<p align="center" class="MsoNoSpacing" style="text-align:center"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>--- Early registration deadline: February 24, 2021 ---</span></span></span></span></p>
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<p align="center" class="MsoNoSpacing" style="text-align:center"><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>************************************************</span></span></span></span></p>
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<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>SCOPE:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>DeepLearn 2021 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova and Warsaw.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>ADDRESSED TO:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2021 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>VENUE:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>DeepLearn 2021 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. </span></span><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>The venue will be:</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Palacio de Congresos Gran Canaria</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Institución Ferial de Canarias</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Avenida de la Feria, 1</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>35012 Las Palmas de Gran Canaria</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>https://www.infecar.es/index.php?option=com_k2&view=item&layout=item&id=360&Itemid=896</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>STRUCTURE:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>KEYNOTE SPEAKERS:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Nello Cristianini (University of Bristol), Data, Intelligence and Shortcuts</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Petia Radeva (University of Barcelona), Uncertainty Modeling and Deep Learning in Food Analysis</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Indrė Žliobaitė (University of Helsinki), Any Hope for Deep Learning in Deep Time?</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>PROFESSORS AND COURSES:</span></span></strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'> (to be completed)</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Ignacio Arganda-Carreras (University of the Basque Country), [introductory/intermediate] Deep Learning for Bioimage Analysis</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Rita Cucchiara (University of Modena and Reggio Emilia), [intermediate/advanced] Learning to Understand Humans and Their Behaviour</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Thomas G. Dietterich (Oregon State University), [introductory] Machine Learning Methods for Robust Artificial Intelligence</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Georgios Giannakis (University of Minnesota), [advanced] Ensembles for Online, Interactive and Deep Learning Machines with Scalability, and Adaptivity</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-end Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Çağlar Gülçehre (DeepMind), [intermediate/advanced] Deep Reinforcement Learning</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Balázs Kégl (Huawei Technologies), [introductory] Deep Model-based Reinforcement Learning</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Vincent Lepetit (ENPC ParisTech), [intermediate] Deep Learning and 3D Geometry</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Geert Leus (Delft University of Technology), [introductory/intermediate] Graph Signal Processing: Introduction and Connections to Distributed Optimization and Deep Learning</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Andy Liaw (Merck Research Labs), [introductory] Machine Learning and Statistics: Better together</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Abdelrahman Mohamed (Facebook AI Research), [introductory/advanced] Recent Advances in Automatic Speech Recognition</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Lyle John Palmer (University of Adelaide), [introductory/advanced] Epidemiology for Machine Learning Investigators</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Jan Peters (Technical University of Darmstadt), [intermediate] Robot Learning</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>José C. Príncipe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Björn W. Schuller (Imperial College London), [introductory/intermediate] Deep Signal Processing</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Sargur N. Srihari (University at Buffalo), [introductory] Generative Models in Deep Learning</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Johan Suykens (KU Leuven), [introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Gaël Varoquaux (INRIA), [intermediate] Representation Learning in Limited Data Settings</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>René Vidal (Johns Hopkins University), [intermediate/advanced] Mathematics of Deep Learning</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Haixun Wang (Instacart), [introductory/intermediate] Abstractions, Concepts, and Machine Learning</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Ming-Hsuan Yang (University of California, Merced), [intermediate/advanced] Learning to Track Objects</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>OPEN SESSION:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by July 18, 2021.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>INDUSTRIAL SESSION:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People participating in the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 18, 2021.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>EMPLOYER SESSION:</span></span></strong></span></span></p>
<p> </p>
<p style="margin-right:-5px"><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 18, 2021.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>ORGANIZING COMMITTEE:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Emanuele Frontoni (Ancona, co-chair)</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Carlos Martín-Vide (Tarragona, program chair)</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Sara Moccia (Ancona)</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Sara Morales (Brussels)</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Marina Paolanti (Ancona)</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Manuel J. Parra-Royón (Granada)</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Luca Romeo (Ancona)</span></span></span></span></p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>David Silva (London, co-chair)</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>REGISTRATION:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>It has to be done at</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>https://irdta.eu/deeplearn2021s/registration/</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will get exhausted. It is highly recommended to register prior to the event.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>FEES:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>ACCOMMODATION:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Suggestions for accommodation will be available in due time at</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>https://irdta.eu/deeplearn2021s/accommodation/</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>CERTIFICATE:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>QUESTIONS AND FURTHER INFORMATION:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>david@irdta.eu</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><strong><span lang="IT" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>ACKNOWLEDGMENTS:</span></span></strong></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Institute for Research Development, Training and Advice – IRDTA, Brussels/London</span></span></span></span></p>
<p> </p>
<p><span style="font-size:10pt"><span style="font-family:Arial,sans-serif"><span lang="EN-GB" style="font-size:12.0pt"><span style='font-family:"Cambria",serif'>Institución Ferial de Canarias</span></span></span></span></p>
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