Summer School on Machine Learning and Big Data with Quantum Computing (SMBQ 2020)
Porto, Portugal, September 7-8, 2020 ##################################### Machine Learning (ML) is an Artificial Intelligence (AI) branch, is about teaching computers how to learn from data to make decisions or predictions. Deep Learning (DL) is part of a broader family of ML algorithms, that is based on artificial neural networks. Arguably, DL techniques demand for big amounts of data and, as such, they require huge computational resources and advanced processing techniques. Cloud Computing is a well-known alternative to deal with big amounts of data, since its elasticity allows for an efficient scalability of huge computational resources, such as, data storage and processing power. On the other hand, Quantum Computing is an advanced processing technique, that uses the fundamentals of quantum mechanics to accelerate the process of solving highly complex problems. SMBQ 2020 addresses the current trends in AI and in the computational techniques that deal with big data demands, together with, a powerful processing technique that will shape the future of computation. During 2 days, from 7-8 September 2020, we will introduce concepts, discuss the current trends and provide direct practical experience in hands-on lessons. For more information visit: https://smbq2020.dcc.fc.up.pt/ ##################################### Venue: Department of Computer Science, Faculty of Sciences, University of Porto Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ##################################### Registration: Registrations include attendance to all sessions, coffee breaks, lunches, wi-fi internet and access to a desktop during the hands-on sections. We have a limit on the number of registrations (60 attendees), please register early! Early Fees: 150 euros ##################################### Contact Persons: Carlos Ferreira, Polytechnic Institute of Porto, LIAAD - INESC TEC, E-mail: [email protected] Miguel Areias, University of Porto, CRACS - INESC TEC, E-mail: [email protected] Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 [email protected] | www.isep.ipp.pt _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
