[held online] Summer School on Machine Learning and Big Data with Quantum Computing (SMBQ 2020)

[Carlos Ferreira]

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

Porto, Portugal, September 7-8, 2020

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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/

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Registration:

Attendance is free, but it is required that participants register in advance by filling a form until 15 August, 2020. Prior 

to the event, information regarding the access of the live sessions will be sent to all registrants via email.

The number of participants is limited, thus the registration process closes once the limit is reached. For any further 

information, please send a message to SMBQ2020.

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Contact Persons:

Carlos Ferreira, Polytechnic Institute of Porto, LIAAD - INESC TEC, E-mail: c...@isep.ipp.pt

Miguel Areias, University of Porto, CRACS - INESC TEC, E-mail: miguel...@dcc.fc.up.pt