Call for Papers: The 4th International Workshop on Democracy and AI (DemocrAI 2024)
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Rafik Hadfi
Mar 15, 2024, 4:32:33 AMMar 15
to artificial-gene...@googlegroups.com, crowd...@googlegroups.com, ml-...@googlegroups.com
Call for Papers
---------------------
The 4th International Workshop on Democracy and AI (DemocrAI 2024)
in conjunction with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
August 4th, 2024
Jeju Island, South Korea
https://sites.google.com/view/democrai2024
Aim and Scope of the Workshop
--------------------------------------------
Online crowd-based platforms are currently driving the creation of new forms of democracy. These new platforms are primarily designed to address the limitations caused by geographical, cultural, religious, and ethnic divides. AI-assisted democracy is a promising idea that pledges to fully take advantage of AI's capabilities in supporting humans' collaborative activities, gathering, sharing, and finding solutions to wicked problems that humanity is currently facing.
The success of AI-based democracy depends on many criteria, such as the availability of online platforms for democratic decision-making; the research on formal theories of democratic collaboration; the methodologies to evaluate democratic deliberation; the existence of a socio-psychological understanding of democracy; and the identification of the ethical and legal issues surrounding the integration of AI in society. Such processes are complex and often involve various epistemic constraints along the concurrent activities of the stakeholders. Given the premise that AI systems should be, in principle, smart enough to alleviate these issues, various technologies could be combined to this end, including multiagent systems, machine learning, game theory, mechanism design, argumentation theories, computational social choice theory, preference elicitation, case-based reasoning, and so forth.
The 4th International Workshop on Democracy and AI (DemocrAI 2024) investigates different pathways to democracy using agent-based methodologies and tools, relevant formal theories, and ethical, legal, and socio-psychological insights on democracy and its future. The topics of the workshop can be summarized as follows:
- Technologies and Platforms for Group Decision-Making
- Theories of Decision-Making, such as Argumentation, Game Theory, Social Choice, and Mechanism Design
- Multiagent Systems, Distributed Artificial Intelligence, and Distributed Ledgers
- Wisdom of the Crowds, Collective Intelligence, and Superminds
- Liquid, Digital, Cyber, Hyper, and Augmented Forms of Democracy
- Social Choice Theory and Computational Social Choice
- Social Science, Sociology, and Social Psychology
- Ethical, Legal, and Societal Issues in Collective Decision-Making
- Crowdfunding, Crowdsourcing, and Human-Based Computation
- The Sustainable Development Goals or Global Goals and Artificial Intelligence
Researchers in various AI communities, autonomous agents, multiagent systems, and sociology and social psychology are actively working on these issues. This workshop aims to bring together researchers and practitioners from these communities to learn about each other's approaches to AI-empowered democracy, encourage the cross-disciplinary exchange of ideas, and foster long-term research collaborations and engagement in implementing real-world applications.
The research on AI-based democracy is highly relevant to some of the critical objectives of the International Joint Conference on Artificial Intelligence (IJCAI) community (https://ijcai24.org/). DemocrAI 2024 will be an excellent opportunity for researchers and experts who wish to share their preliminary insights on workshop topics. More workshops in AI venues need to be geared toward agent-based crowd decision-making, as most workshops focus on narrower topics in AI. Our workshop is paramount to spurring broader discussions on novel agent-based tools and technologies of crowd collaboration and their social implications.
Important Dates
-----------------------
- Submission Deadline: May 15th, 2024 (AoE)
- Acceptance Notification: June 1st, 2024
- Camera-ready Deadline: July 1st, 2024
- DemocrAI 2024: August 4th, 2024 (full-day)
Submission Guidelines
-------------------------------
DemocrAI 2024 welcomes two types of submissions.
- Regular papers: 8 pages long, published in the proceedings if accepted.
- Extended abstracts: 2 pages long.
Regular papers must be formatted in Springer’s Lecture Notes in Artificial Intelligence (LNAI) camera-ready style template; see Springer’s author instructions page for details. Regular papers (submitted and final) cannot exceed 6 pages (content) + 2 pages (references). Please do not include acknowledgments in submissions due to blind review. Regular papers must be in trouble-free, high-resolution PDF format, using Type 1 or TrueType fonts. Please only use the Arabic numbers system (i.e., [1], [3-5], [4-6,9]) for your reference. Please also refer to the instructions on preparing your paper for blind review.
Extended abstracts must be formatted in Springer’s Lecture Notes in Artificial Intelligence (LNAI) camera-ready style template; see Springer’s author instructions page for details. Extended abstracts (submitted and final) cannot exceed 2 pages (content) + 1 page (references). Please do not include acknowledgments in submissions due to blind review. Regular papers must be in trouble-free, high-resolution PDF format, using Type 1 or TrueType fonts. Please only use the Arabic numbers system (i.e., [1], [3-5], [4-6,9]) for your reference. Please also refer to the instructions on preparing your paper for blind review.
Submission website:
Paper submissions should be made via EasyChair: https://easychair.org/my/conference?conf=democrai2024
Review Process and Acceptance Standards:
The workshop welcomes submissions of original research relevant to the topics described above. This year, the workshop will accept submissions of regular papers (8 pages) and extended abstracts (2 pages). Submissions should conform to the Springer Computer Science Proceedings (see template here). Qualified reviewers from our PC members will review all submitted papers through a double-blind peer-review process. The acceptance standards include its technical soundness, novelty, impact, and readability.
Awards:
Awards for outstanding papers and presentations will be awarded. The categories include Best Presentation Award, Best Student Paper Award, and Best Paper Award.
Proceedings Publication:
The workshop proceedings will only include the regular papers and will be published by (TBA).
Organization
------------------
Organizing Committee:
- Rafik Hadfi, Kyoto University, Japan
- Takayuki Ito, Kyoto University, Japan
- Susumu Ohnuma, Hokkaido University, Japan
- Shun Shiramatsu, Nagoya Institute of Technology, Japan
Program Committee:
- Tokuro Matsuo, Advanced Institute of Industrial Technology, Japan
- Kyung Ryul Park, Korea Advanced Institute of Science and Technology, Korea
- Shigeo Matsubara, Osaka University, Japan
- Nobutsugu Kanzaki, Nanzan University, Japan
- Sofia Sahab, Kyoto University, Japan
- Jawad Haqbeen, Kyoto University, Japan
- Shiyao Ding, Kyoto University, Japan
- Wen Gu, Japan Advanced Institute of Science and Technology, Japan
- Ryuta Arisaka, Kyoto University, Japan
- Naoki Fukuta, Shizuoka University, Japan
- Shun Okuhara, Mie University, Japan
- Weihua Li, Auckland University of Technology, New Zealand
- Yi Yang, Hefei University of Technology, China
- Nor Khalid, Universiti Teknologi MARA, Malaysia
- Fuyuan Xiao, Chongqing University, China
- Reyhan Aydogan, Ozyegin University, Turkey
- Takanobu Otsuka, Nagoya Institute of Technology, Japan
- Shantanu Chakraborty, AVEVA Australia Pty, Australia
Please contact Rafik (rafik.hadfi [at] i.kyoto-u.ac.jp) if you have any questions or requests.
---------------------
The 4th International Workshop on Democracy and AI (DemocrAI 2024)
in conjunction with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
August 4th, 2024
Jeju Island, South Korea
https://sites.google.com/view/democrai2024
Aim and Scope of the Workshop
--------------------------------------------
Online crowd-based platforms are currently driving the creation of new forms of democracy. These new platforms are primarily designed to address the limitations caused by geographical, cultural, religious, and ethnic divides. AI-assisted democracy is a promising idea that pledges to fully take advantage of AI's capabilities in supporting humans' collaborative activities, gathering, sharing, and finding solutions to wicked problems that humanity is currently facing.
The success of AI-based democracy depends on many criteria, such as the availability of online platforms for democratic decision-making; the research on formal theories of democratic collaboration; the methodologies to evaluate democratic deliberation; the existence of a socio-psychological understanding of democracy; and the identification of the ethical and legal issues surrounding the integration of AI in society. Such processes are complex and often involve various epistemic constraints along the concurrent activities of the stakeholders. Given the premise that AI systems should be, in principle, smart enough to alleviate these issues, various technologies could be combined to this end, including multiagent systems, machine learning, game theory, mechanism design, argumentation theories, computational social choice theory, preference elicitation, case-based reasoning, and so forth.
The 4th International Workshop on Democracy and AI (DemocrAI 2024) investigates different pathways to democracy using agent-based methodologies and tools, relevant formal theories, and ethical, legal, and socio-psychological insights on democracy and its future. The topics of the workshop can be summarized as follows:
- Technologies and Platforms for Group Decision-Making
- Theories of Decision-Making, such as Argumentation, Game Theory, Social Choice, and Mechanism Design
- Multiagent Systems, Distributed Artificial Intelligence, and Distributed Ledgers
- Wisdom of the Crowds, Collective Intelligence, and Superminds
- Liquid, Digital, Cyber, Hyper, and Augmented Forms of Democracy
- Social Choice Theory and Computational Social Choice
- Social Science, Sociology, and Social Psychology
- Ethical, Legal, and Societal Issues in Collective Decision-Making
- Crowdfunding, Crowdsourcing, and Human-Based Computation
- The Sustainable Development Goals or Global Goals and Artificial Intelligence
Researchers in various AI communities, autonomous agents, multiagent systems, and sociology and social psychology are actively working on these issues. This workshop aims to bring together researchers and practitioners from these communities to learn about each other's approaches to AI-empowered democracy, encourage the cross-disciplinary exchange of ideas, and foster long-term research collaborations and engagement in implementing real-world applications.
The research on AI-based democracy is highly relevant to some of the critical objectives of the International Joint Conference on Artificial Intelligence (IJCAI) community (https://ijcai24.org/). DemocrAI 2024 will be an excellent opportunity for researchers and experts who wish to share their preliminary insights on workshop topics. More workshops in AI venues need to be geared toward agent-based crowd decision-making, as most workshops focus on narrower topics in AI. Our workshop is paramount to spurring broader discussions on novel agent-based tools and technologies of crowd collaboration and their social implications.
Important Dates
-----------------------
- Submission Deadline: May 15th, 2024 (AoE)
- Acceptance Notification: June 1st, 2024
- Camera-ready Deadline: July 1st, 2024
- DemocrAI 2024: August 4th, 2024 (full-day)
Submission Guidelines
-------------------------------
DemocrAI 2024 welcomes two types of submissions.
- Regular papers: 8 pages long, published in the proceedings if accepted.
- Extended abstracts: 2 pages long.
Regular papers must be formatted in Springer’s Lecture Notes in Artificial Intelligence (LNAI) camera-ready style template; see Springer’s author instructions page for details. Regular papers (submitted and final) cannot exceed 6 pages (content) + 2 pages (references). Please do not include acknowledgments in submissions due to blind review. Regular papers must be in trouble-free, high-resolution PDF format, using Type 1 or TrueType fonts. Please only use the Arabic numbers system (i.e., [1], [3-5], [4-6,9]) for your reference. Please also refer to the instructions on preparing your paper for blind review.
Extended abstracts must be formatted in Springer’s Lecture Notes in Artificial Intelligence (LNAI) camera-ready style template; see Springer’s author instructions page for details. Extended abstracts (submitted and final) cannot exceed 2 pages (content) + 1 page (references). Please do not include acknowledgments in submissions due to blind review. Regular papers must be in trouble-free, high-resolution PDF format, using Type 1 or TrueType fonts. Please only use the Arabic numbers system (i.e., [1], [3-5], [4-6,9]) for your reference. Please also refer to the instructions on preparing your paper for blind review.
Submission website:
Paper submissions should be made via EasyChair: https://easychair.org/my/conference?conf=democrai2024
Review Process and Acceptance Standards:
The workshop welcomes submissions of original research relevant to the topics described above. This year, the workshop will accept submissions of regular papers (8 pages) and extended abstracts (2 pages). Submissions should conform to the Springer Computer Science Proceedings (see template here). Qualified reviewers from our PC members will review all submitted papers through a double-blind peer-review process. The acceptance standards include its technical soundness, novelty, impact, and readability.
Awards:
Awards for outstanding papers and presentations will be awarded. The categories include Best Presentation Award, Best Student Paper Award, and Best Paper Award.
Proceedings Publication:
The workshop proceedings will only include the regular papers and will be published by (TBA).
Organization
------------------
Organizing Committee:
- Rafik Hadfi, Kyoto University, Japan
- Takayuki Ito, Kyoto University, Japan
- Susumu Ohnuma, Hokkaido University, Japan
- Shun Shiramatsu, Nagoya Institute of Technology, Japan
Program Committee:
- Tokuro Matsuo, Advanced Institute of Industrial Technology, Japan
- Kyung Ryul Park, Korea Advanced Institute of Science and Technology, Korea
- Shigeo Matsubara, Osaka University, Japan
- Nobutsugu Kanzaki, Nanzan University, Japan
- Sofia Sahab, Kyoto University, Japan
- Jawad Haqbeen, Kyoto University, Japan
- Shiyao Ding, Kyoto University, Japan
- Wen Gu, Japan Advanced Institute of Science and Technology, Japan
- Ryuta Arisaka, Kyoto University, Japan
- Naoki Fukuta, Shizuoka University, Japan
- Shun Okuhara, Mie University, Japan
- Weihua Li, Auckland University of Technology, New Zealand
- Yi Yang, Hefei University of Technology, China
- Nor Khalid, Universiti Teknologi MARA, Malaysia
- Fuyuan Xiao, Chongqing University, China
- Reyhan Aydogan, Ozyegin University, Turkey
- Takanobu Otsuka, Nagoya Institute of Technology, Japan
- Shantanu Chakraborty, AVEVA Australia Pty, Australia
Please contact Rafik (rafik.hadfi [at] i.kyoto-u.ac.jp) if you have any questions or requests.
Andrew Goodfellow
Mar 21, 2024, 4:26:44 AMMar 21
to artificial-gene...@googlegroups.com, crowd...@googlegroups.com
* Apologies for multiple copies. Please forward to anybody who might be interested, thanks *
#ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI
ACDL 2024 is a full-immersion 5-day course in Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc. & Generative AI with lectures delivered by world-renowned experts.
If
you want to learn
NLP, Generative AI
Transformers, Diffusion Models,
Large language models,
Vision - Large-scale vision models,
Vision and language,
Beyond vision and language,
Multimodal Foundation Models
and much more
then
take part in ACDL 2024! ;-)
Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14
https://acdl2024.icas.events
ac...@icas.cc
EARLY REGISTRATION: by March 23 (AoE)
https://acdl2024.icas.events/registration/
Oral Presentation Submission Deadline: by March 23 (AoE)
LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.
https://acdl2024.icas.events/lecturers/
* Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award*
Lectures “Artificial Intelligence: Where We Are, Where We Are Going?”
* Gabriel Barth-Maron, DeepMind, London, UK
4 Lessons on "Multimodal Foundation Models"
* Sergiy Butenko, Texas A&M University, USA
“Cluster-detection Methods in Network-based Data Analysis”
“Continuous Approaches to Cluster-Detection Problems in Networks ”
* Sven Giesselbach, Fraunhofer Institute - IAIS, Germany
5 Lessons on "Introduction on Foundation Models"
* Ramin Hasani, MIT, USA
4 Lessons on "Continuous Neural Networks / Liquid Neural Networks"
* Nora Kassner, DeepMind, London, UK
"Large Language Models: Life after Pre-training"
"Large Language Models: Evaluation"
"Large Language Models: Reasoning and Factuality"
"Large Language Models: Retrieval augmentation and Tool-use"
* Petros Koumoutsakos, Harvard University, USA
“Machine Learning for Modeling and Control of Complex Systems” 1/2
“Machine Learning for Modeling and Control of Complex Systems” 2/2
“Solving forward and inverse problems with and without neural networks”
“Bayesian Uncertainty Quantification”
* Maria Liakata, The Alan Turing Institute, UK
4 Lessons on "Longitudinal Language Processing with User Generated Content"
* Panos Pardalos, University of Florida, USA
Lectures 1-2 TBA
Topics: Data Science, Application to Neuroscience
* Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands
4 Lessons on “Deep Generative Modelling”
* Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands
3 Lessons on "Diffusion Models"
* Pascal Van Hentenryck, Georgia Institute of Technology, USA
3 Lessons on "Fusing Machine Learning and Optimization for Engineering"
* Max Welling, University of Amsterdam, The Netherlands
3 Lessons on "Generalized Belief Propagation Algorithms for Tensor Network Contractions"
PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/
ACDL 2024 VENUE: https://acdl2024.icas.events/venue/
Riva del Sole Resort & SPA
Località Riva del Sole‚ Castiglione della Pescaia (Grosseto)
CAP 58043‚ Tuscany‚ Italy
p: +39-0564-928111
e: booking...@rivadelsole.it
w: https://www.rivadelsole.it/en/
PAST EDITIONS: https://acdl2024.icas.events/past-editions/
REGISTRATION: https://acdl2024.icas.events/registration/
CERTIFICATE & 8 ECTS:
PhD students, Postdocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants. The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points.
TO PARTICIPATE IN ACDL 2024, all attendants must
(1/2) register for the course (by March 23, 2024) and
(2/2) book accommodation at the course venue, Riva del Sole Resort & SPA‚ (by April 23, 2024); all attendants must stay at the Riva del Sole Resort & SPA.
Once accommodation has been booked at Riva del Sole Resort & SPA‚ the participant must send this information (including the Booking Number) to the ACDL organizing committee (ac...@icas.cc).
ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made.
For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel (booking...@rivadelsole.it) the name, surname and email address. Otherwise the solution is to book an apartment in single use.
Anyone interested in participating in ACDL 2024 should register as soon as possible.
See you in Riva del Sole in June!
Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors.
ACDL 2024 Scientific & Organizing Committees.
https://acdl2024.icas.events
ac...@icas.cc
7th Advanced Course on Data Science & Machine Learning - ACDL 2024, 10-14 June, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy.
An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders
Early Registration: by March 23, 2024 (AoE)
The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.
https://acdl2024.icas.events/
10th International Conference on Learning, Optimization and Data – LOD 2024, 22–25 September,
Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy
https://lod2024.icas.events/
l...@icas.cc
Submission Deadline: March 23
4th Advanced Course and Symposium on Artificial Intelligence and Neuroscience – ACAIN 2024, 22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy
https://acain2024.icas.events/
ac...@icas.cc
Symposium Submission Deadline: March 23
Early Registration Deadline for the Course: March 23
The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.
ICAS - The Interdisciplinary Centre of Advanced Studies
https://icas.cc/
#ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI
ACDL 2024 is a full-immersion 5-day course in Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc. & Generative AI with lectures delivered by world-renowned experts.
If
you want to learn
NLP, Generative AI
Transformers, Diffusion Models,
Large language models,
Vision - Large-scale vision models,
Vision and language,
Beyond vision and language,
Multimodal Foundation Models
and much more
then
take part in ACDL 2024! ;-)
Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14
https://acdl2024.icas.events
ac...@icas.cc
EARLY REGISTRATION: by March 23 (AoE)
https://acdl2024.icas.events/registration/
Oral Presentation Submission Deadline: by March 23 (AoE)
LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.
https://acdl2024.icas.events/lecturers/
* Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award*
Lectures “Artificial Intelligence: Where We Are, Where We Are Going?”
* Gabriel Barth-Maron, DeepMind, London, UK
4 Lessons on "Multimodal Foundation Models"
* Sergiy Butenko, Texas A&M University, USA
“Cluster-detection Methods in Network-based Data Analysis”
“Continuous Approaches to Cluster-Detection Problems in Networks ”
* Sven Giesselbach, Fraunhofer Institute - IAIS, Germany
5 Lessons on "Introduction on Foundation Models"
* Ramin Hasani, MIT, USA
4 Lessons on "Continuous Neural Networks / Liquid Neural Networks"
* Nora Kassner, DeepMind, London, UK
"Large Language Models: Life after Pre-training"
"Large Language Models: Evaluation"
"Large Language Models: Reasoning and Factuality"
"Large Language Models: Retrieval augmentation and Tool-use"
* Petros Koumoutsakos, Harvard University, USA
“Machine Learning for Modeling and Control of Complex Systems” 1/2
“Machine Learning for Modeling and Control of Complex Systems” 2/2
“Solving forward and inverse problems with and without neural networks”
“Bayesian Uncertainty Quantification”
* Maria Liakata, The Alan Turing Institute, UK
4 Lessons on "Longitudinal Language Processing with User Generated Content"
* Panos Pardalos, University of Florida, USA
Lectures 1-2 TBA
Topics: Data Science, Application to Neuroscience
* Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands
4 Lessons on “Deep Generative Modelling”
* Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands
3 Lessons on "Diffusion Models"
* Pascal Van Hentenryck, Georgia Institute of Technology, USA
3 Lessons on "Fusing Machine Learning and Optimization for Engineering"
* Max Welling, University of Amsterdam, The Netherlands
3 Lessons on "Generalized Belief Propagation Algorithms for Tensor Network Contractions"
PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/
ACDL 2024 VENUE: https://acdl2024.icas.events/venue/
Riva del Sole Resort & SPA
Località Riva del Sole‚ Castiglione della Pescaia (Grosseto)
CAP 58043‚ Tuscany‚ Italy
p: +39-0564-928111
e: booking...@rivadelsole.it
w: https://www.rivadelsole.it/en/
PAST EDITIONS: https://acdl2024.icas.events/past-editions/
REGISTRATION: https://acdl2024.icas.events/registration/
CERTIFICATE & 8 ECTS:
PhD students, Postdocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants. The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points.
TO PARTICIPATE IN ACDL 2024, all attendants must
(1/2) register for the course (by March 23, 2024) and
(2/2) book accommodation at the course venue, Riva del Sole Resort & SPA‚ (by April 23, 2024); all attendants must stay at the Riva del Sole Resort & SPA.
Once accommodation has been booked at Riva del Sole Resort & SPA‚ the participant must send this information (including the Booking Number) to the ACDL organizing committee (ac...@icas.cc).
ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made.
For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel (booking...@rivadelsole.it) the name, surname and email address. Otherwise the solution is to book an apartment in single use.
Anyone interested in participating in ACDL 2024 should register as soon as possible.
See you in Riva del Sole in June!
Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors.
ACDL 2024 Scientific & Organizing Committees.
https://acdl2024.icas.events
ac...@icas.cc
7th Advanced Course on Data Science & Machine Learning - ACDL 2024, 10-14 June, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy.
An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders
Early Registration: by March 23, 2024 (AoE)
The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.
https://acdl2024.icas.events/
10th International Conference on Learning, Optimization and Data – LOD 2024, 22–25 September,
Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy
https://lod2024.icas.events/
l...@icas.cc
Submission Deadline: March 23
4th Advanced Course and Symposium on Artificial Intelligence and Neuroscience – ACAIN 2024, 22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy
https://acain2024.icas.events/
ac...@icas.cc
Symposium Submission Deadline: March 23
Early Registration Deadline for the Course: March 23
The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course.
ICAS - The Interdisciplinary Centre of Advanced Studies
https://icas.cc/
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