Applications, Architectures, Methods and Tools for Machine – and Deep Learning is a Special Sessions at the 26th Euromicro Conference Digital System Design (DSD) conference.

Most important issues (more details below).

• scope: advanced applications, architectures, design methods and tools, and system software for artificial intelligence, machine learning and deep learning
• submission deadline: May 15th, 2023
• conference: Sept. 6th – Sept. 8th, 2023, Durres, Albania
• contact: Tomasz Kryjak (tomasz.kryjak@agh.edu.pl), Niki Martinel (niki.martinel@uniud.it), Ercan Kalali (e.kalali@tue.nl)

Applications, Architectures, Methods and Tools for Machine – and Deep Learning (AAMTM) – https://dsd-seaa2023.com/aamtm/

Machine learning has numerous important applications in intelligent systems within many areas, like automotive, avionics, robotics, health-care, well-being, and security. The recent progress in Artificial Intelligence (AI), and particularly in Deep Learning (DL) / Machine Learning (ML), has dramatically improved the state-of-the-art in object detection, classification and recognition, natural language processing, games, medical imaging, etc. However, the complexity of DL-networks for many practical applications can be huge, and their processing may demand a high computing effort and excessive energy consumption. This can become a gigantic challenge when considering embedded inference implementation for Smart Cyber Physical Systems (like autonomous vehicles and robotics) and Internet-of-Things (like healthcare-IoT and predictive maintenance for Industry 4.0). Moreover, even training of such complex DL-networks over massive data sets is triggering new avenues in training accelerator design. In DSD 2023, we plan to organize several oral sessions on embedded deep learning/AI and related research, as well as to have invited speeches, and a poster session.
Special Session Scope

We welcome submissions related to advanced applications, architectures, design methods and tools, and system software for AI, ML and DL, especially related (but not limited) to the following topics:

• Architectures for ML and DL, with emphasis on energy reduction, computation efficiency and/or computation flexibility, both for inference and/or for learning
• Neuromorphic architectures, Spiking and brain-inspired neural networks and their implementation
• Efficient Edge Computing for ML and DL
• Efficient mapping of ML and DL applications to target architectures, including many-core, GPGPU, SIMD, FPGA, and HW accelerators
• New learning approaches for ML and DL, with emphasis on e.g. faster and more efficient learning, online learning, and quality of learning, training accelerators, etc.
• High-level programming language support for ML and DL
• Advanced applications exploiting ML or DL
• ML and DL for design automation
• Tools, frameworks, and system software for ML and DL
• Using of approximate computing to decrease the energy demands of ML and DL
• Security and Reliability issues for ML and DL, for both inference and training

Submission Guidelines

Authors are encouraged to submit their manuscripts via EasyChair web service at web page https://easychair.org/conferences/?conf=dsd2023. Each manuscript should include the complete paper text, all illustrations, and references. The manuscript should conform to the IEEE format: single-spaced, double column, US letter page size, 10-point size Times Roman font, up to 8 pages. In order to conduct a blind review, no indication of the authors’ names should appear in the manuscript, references included.

Special Session Chairs

• Tomasz Kryjak (AGH University of Science and Technology in Krakow, Poland)
• Niki Martinel (University Udine, Italy)
• Ercan Kalali (TU Eindhoven, The Netherlands)

Special Session Program Committee

• José L. Abellán (Universidad de Murcia, Spain)
• Ihsen Alouani (IEMN-DOAE/UMR CNRS Polytechnic University Hauts-de-France, France)
• Jani Boutellier (University of Vaasa, Finland)
• José Cano  (University of Glasgow, United Kingdom)
• Alessandro Capotondi (University of Modena and Reggio-Emilia, Italy)
• Antonio Carlos Schneider Beck (Universidade Federal do Rio Grande do Sul, Brazil)
• Miguel Chavarrías (Universidad Politécnica de Madrid, Spain)
• Karol Desnos (University Rennes, INSA Rennes, France)
• Tiago Dias (Instituto Superior de Engenharia de Lisboa, Portugal)
• Miguel Figueroa (Universidad de Concepcion, Chile)
• Ghayoor Gillani (University of Twente, The Netherlands)
• Muhammad Abdullah Hanif (New York University Abu Dhabi)
• Mateusz Komorkiewicz (IEEE: VTS Chapter, Poland)
• Pierre Langlois (Ecole Polytechnique de Montreal, Canada)
• Alberto Marchisio (Vienna University of Technology, Austria)
• Maurizio Martina (Politecnico di Torino, Italy)
• Vojtech Mrazek (Brno University of Technology, Czech Republic)
• Anuj Pathania (Universiteit van Amsterdam, The Netherlands)
• Satwik Patnaik (Texas A&M University, USA)
• Christian Pilato (Politecnico di Milano, Italy)
• Sai Manoj Pudukotai Dinakarrao (George Mason University, USA)
• Alfonso Rodriguez  (Universidad Politécnica de Madrid, Spain)
• Emanuele Torti (University of Pavia, Italy)
• Georgios Zervakis (Karlsruhe Institute of Technology, Germany)
• Wei Zhang (Hong Kong University of Science and Technology, Hong Kong)

Contact Information

• Tomasz Kryjak – tomasz.kryjak@agh.edu.pl
• Niki Martinel – niki.martinel@uniud.it
• Ercan Kalali – e.kalali@tue.nl

18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)

Warsaw, Poland, 17-20 September, 2023

(IEEE: #57573, 70 MEiN points)

www.fedcsis.org

Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions)

Please feel free to forward this announcement to your colleagues and
associates who could be interested in it.

KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing:
DBLP, Scopus and Web of Science; 20 Technical Sessions in 5 Tracks;
Doctoral Symposium; Data Mining Competition.

********************* Statement concerning LLMs *********************

Recognizing the developing issue that affects all academic
disciplines, we would like to state that, in principle, papers that
include unedited text generated from large language models (LLMs) are
prohibited, unless the produced text is used within the experimental
part of the work and is clearly marked as generated.

*********************************************************************

FedCSIS is an annual international conference, this year organized
jointly by the Polish Information Processing Society (PTI), IEEE
Poland Section Computer Society Chapter, and Department of Mathematics
and Information Sciences, Warsaw University of Technology. It is
technically sponsored by a number of IEEE units and other professional
organizations (for the full list, see the conference site). The
mission of the FedCSIS Conference Series is to provide a highly
acclaimed forum in computer science and intelligence systems. We
invite researchers from around the world to contribute their research
results and participate in Technical Sessions, focused on their
scientific and professional interests in computer science and
intelligence systems.

Since November 2021, FedCSIS is worth 70 parametric points to Polish
researchers.

Since 2012, Proceedings of the FedCSIS conference are indexed in
SCOPUS, DBLP and other indexing services. Information about FedCSIS
indexing / bibliometry / rankings can be found at:
https://fedcsis.org/for_authors/indexation

FedCSIS TRACKS AND TECHNICAL SESSIONS

FedCSIS 2023 consists of five conference Tracks, hosting Technical Sessions:

Track 1: Advanced Artificial Intelligence in Applications (18th
Symposium AAIA 2023)
        * AI in Agriculture (1st Workshop AgriAI 2023)
        * Challenges for Natural Language Processing (1st Symposium CNLPS 2023)
        * Distributed Edge AI – Risks and Challenges (1st Workshop DE-AI 2023)
        * Rough Sets: Theory and Applications (5th International
Symposium RSTA 2023)
        * Computational Optimization (16th Workshop WCO 2023)

Track 2: Computer Science & Systems (CSS 2023)
        * Computer Aspects of Numerical Algorithms (16th Workshop CANA 2023)
        * Multimedia Applications and Processing (16th International
Symposium MMAP 2023)
        * Scalable Computing (13th Workshop WSC 2023)

Track 3: Network Systems and Applications (NSA 2023)
        * Complex Networks – Theory and Application (2nd Workshop CN-TA 2023)
        * Internet of Things – Enablers, Challenges and Applications
(7th Workshop IoT-ECAW 2023)
        * Cyber Security, Privacy and Trust (4th International Forum
NEMESIS 2023)

Track 4: Information Technology for Business and Society (ITBS 2023)
        * International Workshop on AI in Digital Humanities,
Computational Social Sciences and Economics Research (1st Workshop
AI-HuSo 2023)
        * Data Science in Health, Ecology and Commerce (5th Workshop DSH 2023)
        * Information Systems Management (18th Conference ISM 2023)
        * Knowledge Acquisition and Management (29th Conference KAM 2023)
        * Meta Environment for Citizens, Business and Entertainment
(1st Conference MECBE 2023)

Track 5: Software, System and Service Engineering (S3E 2023)
        * Cyber-Physical Systems (10th Workshop IWCPS-10)
        * Practical Aspects of and Solutions for Software Engineering
(24th Conference KKIO 2023)
        * Software Engineering (43rd IEEE Workshop SEW-43)
        * Advances in Programming Languages (8th Workshop WAPL 2023)

Recent Advances in Information Technology (8th Symposium DS-RAIT 2023)

KEYNOTE SPEAKERS (preliminary list):

* Lipika Dey
        Tata Consultancy Services
        https://scholar.google.com/citations?hl=en&user=4E6f01EAAAAJ
        Keynote title: Deciphering Clinical Narratives – augmented
intelligence for Decision Making in Health care sector

* Marta Kwiatkowska
        University of Oxford
        https://scholar.google.com/citations?hl=en&user=ArcH6PkAAAAJ
        Keynote title: When to trust AI…

* Roman Slowinski
        Poznan University of Technology
        https://scholar.google.com/citations?hl=en&user=yCX-JrQAAAAJ
        Keynote title: Multiple Criteria Decision Aiding by
Constructive Preference Learning

DATA MINING COMPETITION – to be announced (see the conference WWW site)

ZDZISLAW PAWLAK BEST PAPER AWARD

The Professor Zdzislaw Pawlak Awards are given in the following categories:

* Best Paper Award (600 EUR)
* Young Researcher Paper Award (400 EUR)
* Industry Cooperation Award (400 EUR)
* International Cooperation Award (400 EUR)

All papers accepted to FedCSIS 2023 are eligible to be considered as
the award winners.

This award will be granted independently from awards given by
individual FedCSIS events (Tracks and/or Technical Sessions).

Past Award winners can be found here: https://fedcsis.org/zp_award

PAPER SUBMISSION AND PUBLICATION

+ Papers should be submitted by May 23, 2023 (strict deadline, no
extensions, submission will be done via EasyChair
https://easychair.org/my/conference?conf=fedcsis2023).

+ Paper submission system will be opened on March 1, 2023.

+ Preprints of submitted papers will be published online.

+ Only papers presented during the conference will be submitted to the
IEEE for inclusion in the Xplore Digital Library. Furthermore,
proceedings, published in a volume with ISBN, ISSN, and DOI numbers,
will be posted on the conference web portal. Moreover, most Technical
Session organizers arrange quality journals, edited volumes, etc., and
may invite selected extended and revised papers for post-conference
publications (information can be found on the websites of individual
events, or by contacting Chairs of said events).

IMPORTANT DATES

+ Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE;
there will be no extension)
+ Position paper submission: June 7, 2023
+ Author notification: July 11, 2023
+ Final paper submission and registration: July 31, 2023
+ Payment (early fee deadline): July 26, 2023
+ Conference date: September 17-20, 2023

CHAIRS OF FedCSIS CONFERENCE SERIES

Maria Ganzha, Marcin Paprzycki, Dominik Slezak

CONTACT FedCSIS at: secretariat@fedcsis.org

FedCSIS in Social Media:
FedCSIS on Facebook:    https://tinyurl.com/FedCSISFacebook
FedCSIS on LinkedIN:    https://tinyurl.com/FedCSISonLinkedIN
FedCSIS on Twitter:     https://twitter.com/FedCSIS