posted by organizer: cferreira || 2802 views || tracked by 3 users: [display]

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

FacebookTwitterLinkedInGoogle

Link: https://smbq2020.dcc.fc.up.pt/
 
When Sep 7, 2020 - Sep 8, 2020
Where Porto, Portugal
Submission Deadline TBD
Categories    machine learning   big data   quantum computing   cloud computing
 

Call For Papers

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.


#####################################


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/

#####################################

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.
#####################################

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

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
CVPR 2022   Computer Vision and Pattern Recognition
CFDSP 2022   2022 International Conference on Frontiers of Digital Signal Processing (CFDSP 2022)
MLDM 2022   18th International Conference on Machine Learning and Data Mining
JCRAI 2021-Ei Compendex & Scopus 2021   2021 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2021)
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
NeCoM 2022   14th International Conference on Networks & Communications
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
blockchain_ml_iot 2021   Network and Electronics (MDPI) Joint Special Issue - Blockchain and Machine Learning for IoT: Security and Privacy Challenges
ICCSEA 2021   11th International Conference on Computer Science, Engineering and Applications