Free attendance of the ‘AI Mellontology (futurology)’ e-symposium 15/9/2021

September 2nd, 2021 Daniela Lopez de Luise

Dear AI researcher, scientist, engineer, student, enthusiast,

 

you are welcomed to attend the 'AI Mellontology (futurology)' e-symposium (https://event.ai4media.eu/ai-mellontology-e-symposium-2021) on 15/9/2021 for free. No registration is needed.

 

Horizon2020 AI flagship R&D projects: AI4Media and ELISE, together with the International AI Doctoral Academy (AIDA) joined forces in sponsoring this event.

The program and the participation link are attached. More details on the panel topic descriptions can be found in the www page.

 

There will be 3 AI science/technology sessions in the morning and 3 AI society / industry /  economy sessions in the afternoon.

Participants will debate the ‘AI future ’, namely hot AI research issues of any form on any scientific, societal, industrial/economic AI aspect.

Session panelists will make their short statements during each panel to initiate discussion by the audience. 

Discussion will be informal, hopefully lively and hot aiming to debate contrasting views (thesis-antithesis) on each issue.

 

You are welcome to a) see panelist and other views and voice your own views on any panel topic, by using the ‘Voice your views’ area, b) propose your own AI grand challenge and c) actively participate in each panel discussion.

The more innovative, futuristic, even provocative your views are, the better. The discussion will be conducted though in a scientific way and in good faith.

The entire discussion and contributions will be compiled later on in a public ‘AI research white paper’ that will be used to guide R&D anywhere in the world, notably in the framework of AIDA and Horizon2020 ICT48 R&D projects.

 

Here are some notable panel topic examples:

  1. Knowledge is the basis of our society, yet it is not formally quantified. How can we quantify knowledge, knowledge aggregation and transfer (education)?
  2. How can we build trustworthy and humanistic AI, while still advancing economic growth and competitiveness?

 

For any questions, you can contact the e-symposium secretary Mrs. Ioanna Koroni koroniioanna@csd.auth.gr (for organization matters) or Prof. Ioannis Pitas pitas@csd.auth.gr  (for scientific matters).

 

On behalf of the Organizing Committee

Prof. Ioannis Pitas

AI Mellontology e-symposium chair

 

 

AI Mellontology (futurology) e-symposium

 

Date: 15/9/2021

www page: https://event.ai4media.eu/ai-mellontology-e-symposium-2021

 

Zoom link for free participation: https://authgr.zoom.us/j/96014032511

 

 

AI Mellontology (futurology) e-symposium Program 15/9/2021

 

9:00-9:15 Opening (Prof. Ioannis Pitas)

 

Panel-initiated discussions

Scientific/technical panel topics (morning sessions 9:00-13:00 CEST, Coordinator: Prof. N. Cesa-Bianchi)

9:15-10:15 Dr. S. Papadopoulos and Dr. N. Sarris ‘Navigating Disinformation Landscapes within Synthetic Realities. AI a friend or a foe?’, Panelists: Prof. M. Bielikova, R. Fletcher, A. Følstad.

R. Tudor Ionescu.

10:15-11:15 Prof. N. Sebe, ‘New Learning Methods’, Panelists: Prof. A. Del Bimbo, Prof. C. Snoek, Prof. 11:15-11:45 Coffee break

11:45-12:45 Prof. I. Pitas, ‘Grand AI challenges’

 

Social panel topics (afternoon sessions 14:00-18:00 CEST, Coordinator: Dr. Ioannis Kompatsiaris, CERTH/ITI)

14:00-15:00 Prof. T. Tommasi, B. Caputo ‘Fairness Certification in AI’, Panelists: G. Bernini, M. Haataja, Prof. B. Nessler, Prof. T. Tommasi.
15:00-16:00 K. Heine ‘Legal Personality of AI’, Panelists: Prof. K. Heine; Dr. A. Quintavalla

16:00-16:30 Coffee break

16:30-17:30 Prof. I. Pitas ‘AI Act and GDPR impact on European growth and competitiveness’, Panelists: E. Girardi, Prof. I. Pitas, S. Scalzo, Prof. P. Van Cleynenbreugel

 

17:30-18:00 AI Mellontology follow-up: AI white paper. AI challenges (all, Chair: Prof. Ioannis Pitas)

 

 

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The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP)

September 1st, 2021 Daniela Lopez de Luise

The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP 2021, https://mlesp2021.sciencesconf.org/) will be held online, from 9 to 12 december 2021, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021, https://ieeebibm.org/BIBM2021/)

Overview

EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought an impressive progress to solve several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss the recent advances.

The topics of interest include but not limited to:

– EEG signal processing and analysis
– Time-frequency EEG signal analysis
– Signal processing for EEG Data
– EEG feature extraction and selection
– Machine learning for EEG signal processing
– EEG classification and Hierarchical clustering
– EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.)
– Machine learning in EEG Big Data
– Deep Learning for EEG Big Data
– Neural Rehabilitation Engineering
– Brain-Computer Interface
– Neurofeedback
– EEG-based Biometrics
– Related applications

Important Dates

Aug. 28, 2021 (11:59 pm CST): Due date for full workshop papers submission
Oct 25, 2021: Notification of paper acceptance to authors
Nov. 15, 2021: Camera-ready of accepted papers
Dec 3-6, 2021: Workshops

 

Paper Submission

 

– Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system. You can download the format instruction here:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html

– Electronic submissions in PDF format are required.

Online Submission

 

 

All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library.

Journal Special Issue

 

Selected high-quality papers will be invited for publication in a special issue in highly respected journal.

Contact

Larbi Boubchir (Workshop Chair), University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr

Read More »

The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP)

September 1st, 2021 Daniela Lopez de Luise

The 2nd international workshop on Machine Learning for EEG Signal Processing (MLESP 2021, https://mlesp2021.sciencesconf.org/) will be held online, from 9 to 12 december 2021, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021, https://ieeebibm.org/BIBM2021/)

Overview

EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought an impressive progress to solve several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss the recent advances.

The topics of interest include but not limited to:

– EEG signal processing and analysis
– Time-frequency EEG signal analysis
– Signal processing for EEG Data
– EEG feature extraction and selection
– Machine learning for EEG signal processing
– EEG classification and Hierarchical clustering
– EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.)
– Machine learning in EEG Big Data
– Deep Learning for EEG Big Data
– Neural Rehabilitation Engineering
– Brain-Computer Interface
– Neurofeedback
– EEG-based Biometrics
– Related applications

Important Dates

Aug. 28, 2021 (11:59 pm CST): Due date for full workshop papers submission
Oct 25, 2021: Notification of paper acceptance to authors
Nov. 15, 2021: Camera-ready of accepted papers
Dec 3-6, 2021: Workshops


Paper Submission

– Please submit a full-length paper (up to 8 page IEEE 2-column format) through the online submission system. You can download the format instruction here:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
– Electronic submissions in PDF format are required.

Online Submission



All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library.

Journal Special Issue


Selected high-quality papers will be invited for publication in a special issue in highly respected journal.

Contact

Larbi Boubchir (Workshop Chair), University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr

Read More »

NeurIPS Workshop on Distribution Shifts: Connecting Methods and Applications

September 1st, 2021 Daniela Lopez de Luise

We’d like to invite you to submit to the NeurIPS 2021 Workshop on Distribution Shifts. Our workshop will be broadly about distribution shifts, and we will focus on bringing together applications and methods to facilitate discussion on real-world distribution shifts. The deadline to submit papers is on October 8, with an option to sign up for the mentorship program by late September. Please see the workshop website https://sites.google.com/view/distshift2021/ for the full information, and feel free to reach out to distshift-workshop-2021@googlegroups.com if you have any questions. Thank you!

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ICAT 2022 Conference — mark your calendar

September 1st, 2021 Daniela Lopez de Luise

FYI, all areas of computer science and its applications are welcome at this series of conferences, including machine learning. Deadline for submissions is March 1, 2022.

 

The 28th International Conference on Information, Communication and Automation Technologies – ICAT 2022 will be held on June 16 to 18, 2022 in Sarajevo, Bosnia and Herzegovina (https://icat.etf.unsa.ba/). We expect technical co-sponsorship of IEEE Control Systems Society, IEEE Computer Society, IEEE Industrial Electronics and Systems, Man, and Cybernetics Societies.

The general objective of this conference is to present and discuss fundamentals, applications and experiences within the fields of computer science and engineering, control engineering, communication technologies and power systems and drives, both in industry and in academia. ICAT 2022 offers an exciting technical program and tutorials as well as academic networking opportunities during the social events. The previous ICAT 2019 Conference was under the auspices of the Faculty of Electrical Engineering Sarajevo and IEEE Bosnia and Herzegovina Section in cooperation with IEEE Computer Society, IEEE SMC, IEEE Control Systems Society, ACM and ACM SIGGRAPH. All of the published papers were included in IEEEXplore Digital Library, ACM Digital library and indexed by INSPEC, EI Compendex, Scopus and Thomson ISP.

General chairs of the ICAT 2022: Prof. Ljiljana Trajkovic (SImon Fraser University, Canada) and Prof. Tarik Uzunović (University of Sarajevo) 

Program chairs: Prof. Haris Vikalo (University of Texas at Austin, USA) and Prof. Jasmin Velagic (University of Sarajevo)

 

Prof. Jasmin Velagic, PhD

Faculty of Electrical Engineering

Department of Automatic Control and Electronics

Lab for Robotics and Autonomous Systems

Zmaja od Bosne bb

71000 Sarajevo

phone: +387 33 25 07 65

fax.: +387 33 25 07 25

e-mail: jasmin.velagic@etf.unsa.ba

url: http://people.etf.unsa.ba/~jvelagic

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