From graham.leigh at gu.se  Mon Jun 22 11:02:17 2026
From: graham.leigh at gu.se (Graham Leigh)
Date: Mon, 22 Jun 2026 09:02:17 +0000
Subject: [Event@CIG] Call for Participation: Sixth Nordic Logic Summer
 School (NLSS), August 17th-20th 2026, Copenhagen, Denmark
Message-ID: <55105A5B-ECEA-45CA-8A8F-CA66A397F747@gu.se>

Call for Participation ? Sixth Nordic Logic Summer School (NLSS 2026) 
Copenhagen, August 17th-20th 2026

REGISTRATION IS NOW OPEN!
https://slss2026.compute.dtu.dk/registration/
We invite everyone interested in logic and its interface with philosophy, mathematics, computer science, and AI to participate in the Nordic Logic Summer School. The intended audience is advanced master students, PhD-students, post-docs and experienced researchers wishing to learn the state of the art in a particular subject. As usual, this year we have an exciting lineup of five lecturers on a wide spectrum of topics.

Final NLSS 2026 Programme:
- Bahareh Afshari (University of Gothenburg, SE): Temporal Logics in Computer Science
- Vaishak Belle (Edinburgh University, UK): Logic meets Learning: Explanations and LLM-based symbolic executors
- Patrik Blackburn (Roskilde University, DK): Worlds, Times and Things
- Gaia Belardinelli (Stanford University, USA): Formal Models of Attention
- Balder ten Cate (University of Amsterdam, NL): Logic, Data Examples and Learning

Schedule:
The school is 4-day long (Mon-Thu) with classes scheduled from 9am until 6pm.

Important dates: 
New registration deadline: 24 July 2026
NLSS 2026: 17?20 August 2026

Registration fees:
MSc and PhD students: 1000 dkk (~130 eur)
Non-student academics: 1500 dkk (~200 eur)
Non-academics : 2000 dkk (~270 eur)
(The fees cover coffee breaks, lunches, and snacks, but do not cover travel and accommodation)

Credits:
MSc and PhD students can apply to obtain 2.5 ECTS points for attending the Summer School. The formal requirements for credits are: suitable prerequisites in logic, attending all the lectures, and submitting a final report on a topic related to one of the courses. Please indicate your interest in ECTS in the registration form.

??????????????????????????????????
Program Committee:
Ali Enayat, University of Gothenburg, SE
Thomas Bolander (co-chair), Technical University of Denmark, DK
?ystein Linnebo (co-chair), University of Oslo, NO
Sara Negri, University of Genoa, IT
Sonja Smets, University of Amsterdam, NL

??????????????????????????????????
For more information about NLSS, see the website: https://slss2026.compute.dtu.dk/nordic-logic-school/
Or contact the chair of the local organizing committee Nina Gierasimczuk at nigi[at]dtu.dk
 ??????????????????????????????????

From ai at okipublishing.com  Sat Jun 27 17:38:05 2026
From: ai at okipublishing.com (AI Systems)
Date: Sat, 27 Jun 2026 10:38:05 -0500
Subject: [Event@CIG] CFP due July 15: CAIS 2026 Automated and Intelligent
 Systems, Oct 1-2, Online & OKCity, USA
In-Reply-To: <0dedde45277db2e02b30019153cfbf8c@okipublishing.com>
References: <49f25235d7cf3f5c1daa061ad7d7d59d@okipublishing.com>
 <490dc9ffcd5f837bd1d08ab1587814a5@okipublishing.com>
 <0dedde45277db2e02b30019153cfbf8c@okipublishing.com>
Message-ID: <e274aa39be3d67a2993643817a5fd0e4@okipublishing.com>

[Apologies for cross-posting]

--- Call for Abstracts and Papers -------------
2026 OkIP International Conference on Automated and Intelligent Systems 
(CAIS)
Online & Oklahoma City, OK, USA
October 1-2, 2026
https://eventutor.com/e/CAIS006
Submission Deadline: July 15, 2026

OkIP Published & Submission for Indexation
Extended versions of the best papers will be considered for publication 
in the inaugural volume of the International Journal of Automated and 
Intelligent Systems.

Areas:
- AI, Machine/Deep Learning (ML/DL), and Applications
- Agent-based, Automated, and Distributed Supports
- Natural Language Processing (NLP)
- Intelligent Systems and Applications
- Knowledge-based and Control Supports
- Automation, Robotics, and Vehicles
- Global AI
- Generative AI Tools and Models
- AI in Computing and Society
- AI in Education
- AI Engineering
- Software Engineering for AI
- Circuit, Design, and Hardware for AI
- ...
More details are here:
https://eventutor.com/event/80/program


Important Dates:- Abstract or Paper Submission: July 15, 2026
- Author Notification: August 1-15, 2026
- Camera Ready Paper Submission, Registration: August 7-22, 2026
- Conference Date: October 1-2, 2026

Contribution Types (Two-Column Format Style):- Full Paper: Accomplished 
research results (6 pages)
- Short Paper: Work in progress/fresh developments (3 pages)
- Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 
page)


Technical Program 
Committeehttps://eventutor.com/event/80/page/221-committee

Please feel free to contact us for any inquiries at:
Kris Zeuti
OkIP Secretariat
info at okipublishing.com

From announce at ucy.ac.cy  Wed Jun 24 12:30:29 2026
From: announce at ucy.ac.cy (Announce)
Date: Wed, 24 Jun 2026 10:30:29 +0000
Subject: [Event@CIG] KGCSW-SETN 2026: Knowledge Graph Construction Workshop:
 Call for Papers
Message-ID: <XWFLR6FP-ZPYP-YTJB-WHVU-XA88J8YWEPXP@ucy.ac.cy>

CALL FOR PAPERS: SETN 2026 WORKSHOP
KGCSW-SETN 2026: Knowledge Graph Construction Workshop


OVERVIEW
--------
The workshop on Knowledge Graph Construction is an essential step towards
harnessing the transformative power of Artificial Intelligence (AI) in
understanding complex data landscapes. Knowledge graphs stand out as pivotal
tools for structuring data, making it interpretable and actionable by AI
systems. They enable the representation of data in a form that mirrors human
understanding, facilitating more natural interaction between humans and machines.

The construction of knowledge graphs embodies the synthesis of various AI
disciplines, including natural language processing, machine learning, and
semantic web technologies. By organizing this workshop, we aim to foster a
collaborative environment where experts and enthusiasts across these fields
can converge to share insights, challenges, and breakthroughs.

This workshop is held for the second time, following its previous edition at
SETN 2024.

WORKSHOP FORMAT
---------------
Half-day event
Location: SETN 2026 Conference (Chania, Crete, Greece)
Date: September 9, 2026


TOPICS OF INTEREST
------------------

FOUNDATIONS & TECHNICAL TOPICS:
1. Foundations of Knowledge Graphs
2. Knowledge Extraction and Integration
3. Machine Learning, Large Language Models and Knowledge Graphs
4. Natural Language Processing (NLP) for Knowledge Graphs
5. Knowledge Graph Construction Tools and Technologies
6. Scalability and Performance Optimization

APPLICATION AREAS:
1. Healthcare and Life Sciences
2. Security and Cybersecurity
3. Finance and Economics
4. Human-computer interaction / Conversational agents
5. E-Commerce and Retail
6. Smart Cities and IoT
7. Cultural Heritage and Digital Humanities
8. Environmental Science and Sustainability


SUBMISSION GUIDELINES
---------------------

PAPER TYPES:
- Full papers: 6-10 pages
- Short papers: 2-4 pages

SUBMISSION PLATFORM:
EasyChair: https://www.easychair.org/conferences/?conf=setn2026
(Select "SETN 2026 Workshop on Knowledge Graph Construction")

REVIEW PROCESS:
- Double-blind peer review
- At least 2 reviewers per paper
- Evaluation criteria: technical quality, relevance, originality, novelty,
significance, and clarity

PUBLICATION:
- All accepted papers will be included in the SETN 2026 Conference Proceedings
- Published by the Association for Computing Machinery (ACM)
- Available through the ACM Digital Library
- Special issue planned for all accepted workshop papers


AUTHOR REQUIREMENTS
-------------------

For papers to be included in the proceedings and presented at the conference:
* At least one author MUST fully register at SETN 2026 as an "Author"
* At least one author is EXPECTED to attend the conference for presentation


IMPORTANT DATES
---------------

Paper Submission Deadline: July 13, 2026 (AOE)*
Author Notification: July 17, 2026 (AOE)*
Workshop Date: September 9, 2026

*AOE = Anywhere On Earth Time Zone (UTC-12)


ORGANIZING COMMITTEE
--------------------

Maria Papoutsoglou (Chair)
School of Informatics, Aristotle University of Thessaloniki
Email: mpapo(at)csd.auth.gr

Georgios Meditskos
School of Informatics, Aristotle University of Thessaloniki

Efstratios Kontopoulos
Choreograph

Johannes Wachs
Center for Collective Learning, Corvinus University Budapest

Nick Bassiliades
School of Informatics, Aristotle University of Thessaloniki

Stefanos Vrochidis
Information Technologies Institute, CERTH


CONTACT INFORMATION
-------------------

For questions or inquiries regarding the workshop:
Email: mpapo(at)csd.auth.gr


ADDITIONAL INFORMATION
----------------------

Workshop Page:
https://www.setn2026.tuc.gr/en/program/workshop

EasyChair Submission:
https://www.easychair.org/conferences/?conf=setn2026


==============================================================
SETN 2026 Conference - September 9-12, 2026
Chania, Crete, Greece
==============================================================

From elena.yan at emse.fr  Fri Jun 26 09:55:43 2026
From: elena.yan at emse.fr (Elena YAN)
Date: Fri, 26 Jun 2026 09:55:43 +0200 (CEST)
Subject: [Event@CIG] Call for Participation 2026 Summer School on AI
 Technologies for Industry 4.0
Message-ID: <596252769.26728036.1782460543429.JavaMail.zimbra@emse.fr>

Call for Participation 2026 Summer School on AI Technologies for Trust, Interoperability, Autonomy and Resilience in Industry 4.0 
[ https://ci.mines-stetienne.fr/ai4industry/2026/ | https://ci.mines-stetienne.fr/ai4industry/2026/ ] 

NO REGISTRATION FEE 

We invite PhD students, academics and researchers from academia and industry to apply for the Summer School on AI Technologies for Trust, Interoperability, Autonomy and Resilience in Industry 4.0 (henceforth AI4Industry). 

The summer school aims to provide participants with knowledge of state-of-the-art AI technologies and models to address the challenges of the data revolution and the automation of cognitive tasks for the development of a trustworthy and resilient Industry 4.0 (or Industry of the Future). The summer school is organized around concrete industrial problems structured as use cases. These use cases are intended to stimulate the discussion in academic institutions to solve real-world problems and to present innovative solutions to industrial stakeholders. 

During the summer school, participants attend lectures of AI technologies and carry out practical exercises dedicated to applying these technologies to solve real-world industrial problems. The summer school addresses various aspects of AI in Industry, with a special focus on: 



    * Web of Things 
    * Knowledge Graphs 
    * Multi-Agent Systems 
    * Trustworthy and Responsible AI 

Half of the summer school is dedicated to introducing the theoretical foundations of state-of-the-art AI technologies and models, while the other half is dedicated to a practical work in the style of a hackathon. 

Participants are encouraged to continue working on solving the proposed problems after the summer school with the support of the organizers and to submit their work to workshop and conferences. 

The [ https://ai4industry.wp.imt.fr/ | AI4Industry Summer School series ] website provide more general information of the summer school. 

Important Dates 


    * Application on a rolling basis 
        * On-site participation : July 03 , 2026 
        * Online participation : July 10 , 2026 
    * Notification : 1 week after application 
    * Summer School : July 20 -24, 2026 

Target Audience and Eligibility 
We welcome applications from PhD students, academics, and researchers from academia and industry who already have knowledge in at least one of the summer school topics and would like to broaden their perspective on applying their skills on real-world industrial problems. We also welcome researchers and industry partners who want to interact with a new research community and learn more about the latest advances in AI technologies. 

Application Process 
Please apply for the summer school by filling in the form available at [ https://portail.emse.fr/limesurvey2021/index.php/931242?lang=en | https://portail.emse.fr/limesurvey2021/index.php/931242?lang=en ] . 

NOTE : You are required to provide a r?sum?/CV and a brief motivation text explaining how the summer school will benefit your career. 


Costs 
We are glad to announce that there is NO REGISTRATION FEE for participating to the 2026 AI4Industry Summer School. You are responsible for your travel arrangements and expenses. 

Thanks to our sponsors, we will cover the following items to those who are accepted to participate on-site in Saint-?tienne (France): 


    * Lunch and coffee breaks 
    * One Group Dinner 

For those attending on-site in Saint-?tienne, the [ https://www.me-mines-saint-etienne.org/ | Maison des ?l?ves ] offers special price for participants of the summer school ( aprox. ? 35 / day ). Please contact them for make your accommodation arrangements. 

Contact 
[ mailto:contact-ai4industry at listes.emse.fr | contact-ai4industry at listes.emse.fr ] 

From fmec2024 at gmail.com  Wed Jun 24 12:13:49 2026
From: fmec2024 at gmail.com (Jose Gonzales)
Date: Wed, 24 Jun 2026 12:13:49 +0200
Subject: [Event@CIG] [Late Track]CFP: NGEN-AI 2026 | The International
 Conference on Next-Generation AI Systems | Scopus Indexed | A Hybrid Event
 | Trento, Italy
Message-ID: <CA+ORbu6swqa7Hd-9tg2JM6utLQqr8FC_iiDLh96=eGoQ+3v4GA@mail.gmail.com>

Dear colleagues,

I hope you are doing well.

We have received several requests from authors who were unable to submit
their papers to the 2026 International Conference on Next-Generation AI
Systems (NGEN-AI 2026) by the main track deadline.

Therefore, we have decided to open a *late submission track*, which will
remain open until July 2, 2026.

Please find the call for papers below.

We look forward to meeting you in Trento, Italy in September!


Kind regards,

NGEN-AI PC Co-Chairs


CFP: The 2026 International Conference on Next-Generation AI Systems
(NGEN-AI 2026)

Springer CCIS Proceedings

https://ngen-ai.org/

*Theme:* One conference for every AI direction: Foundational models,
Generative, Agentic, Federated, and Deep Learning, XAI, Trust, and Edge
Intelligence.

*Venue:* Trento, Italy     *Dates:* 1?4 September 2026
Scope

We invite high-quality, original contributions that advance the theory,
engineering, and real-world impact of Next Generation AI Systems?spanning
federated and distributed intelligence; small, large, and generative
models; agentic and interactive AI; deep learning and representation
learning; explainability and transparency; trustworthy, responsible, and
sustainable AI; MLOps and lifecycle management; AI systems and
infrastructures; and application-driven research with societal impact.

NGEN-AI 2026 brings together researchers, practitioners, and industry
leaders working on the next wave of artificial intelligence. The conference
provides a platform for interdisciplinary collaboration, bridging
theoretical foundations and practical implementations in intelligent,
trustworthy, and sustainable AI systems deployed across diverse domains and
real-world environments.
Indexing

All accepted papers will be published in the Springer CCIS series, indexed
in leading databases including SCOPUS, Norwegian Register for Scientific
Journals and Series, DBLP, EI Compendex, INSPEC, SCImago, zbMATH, and the
Japanese Science and Technology Agency (JST).
General Chairs

   - Marco Roveri, University of Trento, Italy
   - Sadi Alawadi, Blekinge Institute of Technology, Sweden

Topics of Interest

The NGEN-AI conference welcomes research, experience, and vision papers
that explore foundational methods, systems, and applications of next
generation AI. Topics of interest for each track include, but are not
limited to, the following.
Federated Learning

   - Architectures for cross-device and cross-silo federated learning
   - Federated optimization under non-IID, sparse, or unbalanced data
   distributions
   - Personalized and on-device adaptation strategies in federated settings
   - Communication-efficient FL (compression, sparsification, update
   scheduling)
   - Privacy-preserving FL: secure aggregation, differential privacy,
   homomorphic encryption
   - Robustness to poisoning, backdoor, and Byzantine attacks in federated
   scenarios
   - Energy- and resource-aware FL on mobile, edge, and IoT devices
   - Federated learning in vertical, horizontal, and hybrid data
   partitioning settings
   - Federated analytics and federated evaluation techniques
   - MLOps for FL: lifecycle management, monitoring, and deployment at scale
   - Benchmarking, simulators, datasets, and reproducibility studies for FL
   - Real-world applications in healthcare, finance, smart industry, and
   smart cities
   - Regulatory, ethical, and governance aspects of federated and
   collaborative learning

Small & Large Language Models and Generative AI

   - Architectures and training recipes for SLMs, LLMs, and foundation
   models
   - Pre-training, instruction-tuning, alignment (e.g., RLHF, DPO,
   preference optimization)
   - Domain-specific and compact SLMs for on-device and
   resource-constrained settings
   - Prompt engineering, in-context learning, function calling, and
   tool-augmented pipelines
   - Retrieval-augmented generation and knowledge-grounded generative models
   - Generative models for text, code, images, audio, video, and multimodal
   content
   - Model compression, distillation, quantization, and sparsity for
   efficient deployment
   - Edge and on-device deployment of SLMs/LLMs and generative models
   - Safety, robustness, and red-teaming of generative systems (toxicity,
   hallucinations, bias)
   - Evaluation methodologies, benchmarks, and human-in-the-loop assessment
   - Generative AI for scientific discovery, simulation, and data
   augmentation
   - Software engineering with LLMs: code generation, refactoring, testing,
   and verification
   - Governance, transparency, IP, and regulatory aspects of foundation and
   generative models

Deep Learning Architectures & Representation Learning

   - Novel neural architectures (transformers, graph neural networks,
   diffusion models, etc.)
   - Self-supervised, contrastive, and representation learning at scale
   - Multimodal learning and fusion of heterogeneous data sources
   - Curriculum learning, meta-learning, and continual / lifelong learning
   - Robust and certified deep learning under distribution shift and
   adversarial attacks
   - Interpretable and explainable deep learning methods
   - Data-centric AI: dataset curation, quality, and augmentation strategies
   - Efficient training and inference: pruning, low-rank adaptation, and
   sparse models
   - Neural architecture search and automated model design
   - Applications of deep learning in vision, language, time series,
   recommender systems, and beyond

Agentic AI

   - Architectures for autonomous, semi-autonomous, and mixed-initiative
   agents
   - Planning, reasoning, and long-horizon decision making for agentic
   systems
   - Reinforcement learning, hierarchical RL, and model-based control for
   agents
   - LLM-driven agents, tool-using agents, and workflow / task orchestration
   - Multi-agent systems: coordination, negotiation, communication, and
   cooperation
   - Human-agent interaction, explainability, and trust in agentic AI
   systems
   - Safety, verification, alignment, and oversight for autonomous agents
   - Simulation environments, digital twins, and benchmarks for agentic AI
   - Agents in robotics, autonomous vehicles, logistics, smart grids, and
   IoT environments
   - Social, economic, and ethical implications of pervasive agentic AI
   - Engineering methodologies, software frameworks, and tooling for
   large-scale agent systems
   - Hybrid symbolic-subsymbolic approaches for reasoning and acting

MLOps, AI Engineering & Lifecycle Management

   - MLOps platforms and infrastructure for scalable training and deployment
   - CI/CD for ML, continuous training, and continuous evaluation
   - Data and feature management: data versioning, feature stores, and
   lineage tracking
   - Monitoring, observability, and incident response for AI systems
   - Model governance, risk management, and compliance (e.g., AI Act,
   sectoral regulation)
   - Testing, debugging, and quality assurance for ML components and
   pipelines
   - Infrastructure for serving LLMs and generative models at scale
   - Cost- and energy-aware deployment and scheduling of AI workloads
   - Organizational processes and roles for AI/ML teams
   - Case studies and lessons learned from real-world AI production
   deployments

Explainable AI (XAI) & Transparency

   - Post-hoc explanations (e.g., feature attribution, saliency, local
   surrogate models)
   - Intrinsic interpretability and transparent model design
   - Counterfactual and contrastive explanations
   - Uncertainty estimation, calibration, and communicating confidence to
   users
   - Explainability for LLMs and generative AI (faithfulness, grounding,
   rationale analysis)
   - Explainability in federated, privacy-preserving, and edge AI settings
   - Explainable decision making for agentic and multi-agent systems
   - Human-centered explanation design, usability, and user studies
   - Evaluation and benchmarking of explanations (faithfulness, robustness,
   usefulness)
   - Auditing, debugging, and root-cause analysis for AI systems
   - Transparency documentation (e.g., model cards, datasheets) and
   reporting standards
   - Regulatory, ethical, and governance aspects related to transparency
   and explainability

Trustworthy, Responsible & Sustainable AI

   - Trustworthiness by design: safety, reliability, and robustness under
   distribution shift
   - Fairness, bias mitigation, and inclusive AI across populations and
   contexts
   - Accountability, transparency, and auditability in AI systems
   - Human values and alignment: human-centered objectives, oversight, and
   control
   - Responsible AI governance: policies, risk management, and compliance
   practices
   - Privacy, security, and protection against adversarial and data
   poisoning attacks
   - Evaluation frameworks, metrics, and benchmarks for trustworthy and
   responsible AI
   - Monitoring and lifecycle management for responsible AI in production
   - Sustainable AI: energy-efficient training/inference, green AI, and
   carbon-aware operation
   - Responsible data practices: provenance, consent, documentation, and
   data stewardship
   - Socio-technical studies of AI adoption, impact, and organizational
   readiness
   - Case studies and lessons learned from responsible and sustainable AI
   deployments

AI Systems, Hardware & Edge/Cloud Infrastructures

   - Distributed and parallel systems for large-scale training and inference
   - Scheduling and placement of AI workloads across edge, fog, and cloud
   - Hardware accelerators (GPUs, TPUs, NPUs, FPGAs) and co-design for AI
   - Systems support for LLMs and foundation models (sharding, offloading,
   caching)
   - Energy-efficient and green AI computing, including carbon-aware
   orchestration
   - Runtime systems, compilers, and libraries for AI workloads
   - Edge AI and embedded AI for IoT, CPS, and real-time applications
   - Resilience, fault tolerance, and reliability of AI systems and
   infrastructures
   - Benchmarks, performance analysis, and optimization of AI systems

Applications & Societal Impact of Next Generation AI

   - Next generation AI applications in healthcare, finance, education,
   mobility, and industry
   - AI for sustainability, climate, energy, and environmental monitoring
   - Human-AI collaboration, co-creation, and augmented decision making
   - Fairness, accountability, transparency, and ethics in AI systems
   - Regulation, standards, and governance frameworks for AI
   - Socio-technical analyses of AI deployment and organizational
   transformation
   - User studies, field deployments, and longitudinal evaluations
   - Public sector and civic applications of AI (e-government, public
   services, smart cities)
   - Education, upskilling, and capacity building for AI-literate societies

Submission Types

   - *Long Papers* (16 pages): original research with clear methodology,
   results, and contributions.
   - *Short Papers* (8 pages): short research contributions, focused
   studies, and demo or artifact papers.
   - *Poster Papers* (6 pages): concise presentations of work in progress
   and undergraduate research.

Workshops

NGEN-AI 2026 will also host a set of specialized workshops covering key
emerging areas in next-generation AI systems. Papers accepted in the
workshops will appear in the main conference proceedings:

   - *Security for AI Systems and AI for Systems Security (AISEC 2026)*
   - *AI for Industry (AI4I 2026)*
   - *GEN-AI and Software Engineering (GEN-SE 2026)*
   - *Agentic AI Workflows and Technologies (AAWT 2026)*

Important Dates

   - Paper submission deadline: *June 20, 2026 (Late track deadline: July
   2nd 2026)*
   - Notification of acceptance: *July 20, 2026 **(Late track notification:
   July 27th 2026)*
   - Camera-ready submission: *August 10, 2026*
   - Conference dates: *September 1?4, 2026* (Trento, Italy)

*All deadlines are in Anywhere on Earth (AoE) time.*
Submission Portal

Submissions are handled via EasyChair.

For submission guidelines and the submission link, please visit:
https://ngen-ai.org/index.php
Contact Information

For questions about submissions, please contact me:

   - fahed.alkhabbas at mau.se

We look forward to receiving your contributions and to welcoming you at
NGEN-AI 2026 in Trento, Italy!

From ludovico.montalcini at gmail.com  Fri Jun 26 11:50:39 2026
From: ludovico.montalcini at gmail.com (Ludovico Montalcini)
Date: Fri, 26 Jun 2026 11:50:39 +0200
Subject: [Event@CIG] =?utf-8?q?2nd_Call_for_Participation=3A_Internationa?=
	=?utf-8?q?l_Artificial_Intelligence_Summer_School_=E2=80=93_IAISS_?=
	=?utf-8?q?2026=2C_Sept_20-24=2C_Riva_del_Sole_Resort_=26_SPA_=40_T?=
	=?utf-8?q?uscany_*_Registration=3A_by_July_23_*?=
Message-ID: <CAO976D5QoNdPG_Fdh2Eb6NKvQ4734X14GD7MA+MypxPbF_3Ahw@mail.gmail.com>

* Apologies for multiple copies. Please forward to anybody who might be
interested, thanks! *

IAISS2026, A Residential Summer School in Frontier AI

IAISS 2026 is a full-immersion 5-day Summer School in Tuscany on
cutting-edge advances in AI and Generative AI with lectures delivered by
world-renowned experts.

? Riva del Sole Resort & SPA @ Tuscany, Italy, ? Sept 20-24, 2026

? https://2026.iaiss.cc
iaiss at icas.cc

? LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.

Stefano V. Albrecht, Nanyang Technological University, Singapore
Giuseppe De Giacomo, University of Oxford, UK
Christoph Feichtenhofer, Meta Superintelligence Labs, USA
Sven Giesselbach, T-Systems International, Germany
Jamie Hayes, Google DeepMind, UK
Sumi Helal, University of Bologna, Italy
Albert Q. Jiang, Mistral AI, Paris, France & University of Cambridge, UK
Marine Le Morvan, INRIA Saclay, France
Bruno Lepri, FBK, Italy
Sebastian Lins Risi, Sakana AI, Japan & IT University of Copenhagen,
Denmark
George Paliouras, National Center for Scientific Research "Demokritos",
Athens, Greece
Panos Pardalos, University of Florida, USA

More Lecturers TBA

? https://2026.iaiss.cc/lecturers/

? https://2026.iaiss.cc/lectures/


? REGISTRATION: by July 23 (AoE)
https://2026.iaiss.cc/registration/

Applicant *may* submit (during the Registration Process) a research
abstract (max 2 pages; any format) for presentation. School directors and
the scientific committee will review the abstracts and will recommend for
poster and/or short talk.
Abstract can be submitted by July 23 during the registration process.

PAST EDITIONS:
https://2026.iaiss.cc/previous-editions/

IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence:
https://2026.iaiss.cc/best-presentation-award/


VENUE:
https://2026.iaiss.cc/venue/
Riva del Sole Resort & SPA
Localit? Riva del Sole? Castiglione della Pescaia (Grosseto)
CAP 58043? Tuscany? Italy
p: +39-0564-928111
e: booking.events at rivadelsole.it
w: https://www.rivadelsole.it/en/


? CERTIFICATE & 8 ECTS:
The International Artificial Intelligence Summer School ? IAISS 2026 is a
full-immersion five-day Summer School at the Riva del Sole Resort & SPA
(Castiglione della Pescaia ? Grosseto  ? Tuscany, Italy) on cutting-edge
advances in AI and Generative AI with lectures delivered by world-renowned
experts. The Summer School provides a stimulating environment for PhD
students, Post-Docs,  junior academics (only up to assistant professors),
early career researchers,  and industry leaders (and highly motivated,
promising and brilliant Master students / BSc students). Participants will
also have the chance to present their results with talks, and to interact
with their colleagues, in a convivial, professional and productive
environment.

PhD students, PostDocs, Industry Practitioners and Junior Academics (only
up to assistant professors)  will be typical profiles of the IAISS
attendants. The Summer School 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 ? BSc Student) attending the Summer School.

Language: English.

To participate in the IAISS 2026, all attendants must

(1/2) register for the school (by July 23, 2026) and

(2/2) book accommodation at the school venue, ?Riva del Sole Resort & SPA?
(by July 23, 2026); 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 IAISS organizing committee (iaiss at icas.cc).

IAISS is a residential school, 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.events at rivadelsole.it ) the name, surname and email address.
Otherwise the solution is to book an apartment in single use.
IAISS is organized as a non-profit scientific event.

Please note that only IAISS registered participants can book a room (in
hotel or apartment) at the Riva del Sole Resort & SPA with the
accommodation form attached in the registration email and with the IAISS
Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will
 verify the names of the participants and the corresponding registration
number to confirm the booking.

Anyone interested in participating in IAISS 2026 should register as soon as
possible:

? https://2026.iaiss.cc/registration/

See you in Riva del Sole in September!
         IAISS 2026 Organizing Committees.

https://2026.iaiss.cc
iaiss at icas.cc

https://www.linkedin.com/groups/19146028/

Obviously, this is only a Call for Participation, to have complete and
updated information we recommend you access the relevant website:
https://2026.iaiss.cc
the News Section: https://2026.iaiss.cc/category/news/
and the FAQ: https://2026.iaiss.cc/faq/

* Apologies for multiple copies. Please forward to anybody who might be
interested, thanks! *

