Summer School on Machine Learning and Big Data with Quantum Computing (SMBQ 2020)

Porto, Portugal, September 7-8, 2020

For more information visit: https://smbq2020.dcc.fc.up.pt/


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.


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Machine Learning (ML) is an Artificial Intelligence (AI) branch that 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/

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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.

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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

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Contact Persons:

Carlos Ferreira, Polytechnic Institute of Porto, LIAAD - INESC TEC, E-mail: cgf@isep.ipp.pt
Miguel Areias, University of Porto, CRACS - INESC TEC, E-mail: miguel-areias@dcc.fc.up.pt