14th International Conference on Control, Dynamic Systems, and Robotics (CDSR 2027)- Paris- June 2027

September 1st, 2026 Daniela Lopez de Luise

Call for papers: CDSR 2027, June 6–8, 2027, Paris, France. Submission deadline: September 15, 2026.
International ASET Inc.
info@cdsr.net
Phone: +1-613-733-7999
485 Industrial Ave., Unit 12, 2nd Floor, Ottawa, Ontario, Canada K1G 0Z1
© 2026 International ASET Inc. All rights reserved.

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VISMAC International Summer School on Machine Vision 2026 in Siena – Registration Deadline August 31st

September 1st, 2026 Daniela Lopez de Luise
VISMAC 2026 – International Summer School on Machine Vision,  Siena, Italy,  September 21st to 25th, 2026
REGISTRATION DEADLINE: August 31st

Located just steps away from the University of Siena’s Engineering Department and the iconic Piazza del Campo, the school offers an intensive program designed for doctoral students, researchers, and industry professionals. VISMAC continues to serve as a premier venue for networking and professional growth within the computer vision community.

**Confirmed Keynote Speakers:**
The program features a distinguished lineup of international experts, including:
Dima Damen, University of Bristol

Gül Varol, École des Ponts ParisTech
Davide Scaramuzza, University of Zurich
Efstratios Gavves, University of Amsterdam
Iacopo Masi, University of Rome, La Sapienza
Lamberto Ballan, University of Padova
Vittorio Murino, University of Verona
Matteo Poggi, University of Bologna
Simone Calderara, University of Modena and Reggio Emilia
Luisa Verdoliva, University of Naples Federico II
Marina Paolanti, University of Macerata
Tomaso Fontanini, University of Parma
Massimiliano Mancini, University of Trento
Lorenzo Seidenari, University of Florence
**Registration and Information**
For full program details, accommodation information, and registration, please visit the official website: https://vismac2026.github.io/
Due to venue capacity, we anticipate a limited number of places. We encourage interested participants to register early to secure their attendance.
We kindly ask you to share this invitation with your students and colleagues who may benefit from this experience.
REGISTRATION ENDS SOON: August 31st

**Innovation and Industry Engagement**
This year, VISMAC is introducing a dedicated session for Startups and University Spinoffs with a focus on computer vision. This initiative aims to bridge the gap between academic research and industrial application. It provides an excellent platform for companies to connect with emerging talent, while offering students and PhD candidates insights into entrepreneurial career paths and research-driven business opportunities.
Further details regarding sponsorship and industry participation can be found here: https://vismac2026.github.io/sponsor.html

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GeMAIHc 2027: early registration September 18

September 1st, 2026 Daniela Lopez de Luise
 
1st INTERNATIONAL SCHOOL ON GENERATIVE & MULTIMODAL AI FOR HEALTHCARE
 
GeMAIHc 2027
 
Milan, Italy
 
February 1-5, 2027
 
 
********************************************************
 
Co-organized by:
 
Human Technopole
 
IRDTA – Institute for Research Development, Training and Advice
 
******************************************************
 
Early registration: September 18, 2026
 
******************************************************
 
SCOPE
 
AI is rapidly redefining biomedical research, clinical decision-making, and healthcare delivery worldwide. GeMAIHc 2027 will provide participants with a comprehensive overview of state-of-the-art AI methodologies. Topics will include generative modelling, multimodal data integration and augmentation, large language models and clinical NLP, medical image synthesis and analysis, as well as evaluation, robustness, validation, ethical considerations, and regulatory aspects of AI systems in healthcare.
 
GeMAIHc 2027 aims to become a leading international forum at the intersection of generative AI, multimodal learning, and healthcare innovation. The program will emphasize both methodological foundations and real-world clinical applications, combining theoretical insights with practical perspectives. 
 
This interdisciplinary event will feature 18 monographic three-hour courses, 2 keynote lectures, 3 scientific sessions, 1 symposium, and a hackathon.
 
Leading academics and industry pioneers will share their expertise and perspectives with attendees. In-person interaction and networking will be central components of the event, while full remote participation will also be possible.
 
ADDRESSED TO
 
The program is open to PhD students and postdoctoral researchers in AI, data science, and biomedical disciplines, clinicians and healthcare professionals, industry practitioners and innovators, and policymakers and stakeholders in digital health. There are no formal academic prerequisites for participation. Researchers and professionals at all career stages are welcome.
 
An international audience is expected, with backgrounds spanning computer science, medicine, engineering, mathematics, statistics, physics, and the social sciences.
 
GeMAIHc 2027 will offer a unique opportunity to gain in-depth knowledge of a rapidly evolving field, to interact with experts across disciplines, to establish collaborations and expand professional networks, and to explore how AI is reshaping the future of healthcare.
 
VENUE
 
GeMAIHc 2027 will take place in Milan, one of Europe’s leading international centers for science, industry, fashion, and finance.
 
The venue will be:
 
Human Technopole

 
 
STRUCTURE
 
Three parallel courses will run throughout the event. Participants will be free to choose the sessions they wish to attend and may move between courses at any time.
 
A symposium will offer participants and companies the opportunity to present ongoing research or industrial developments through 10-minute oral presentations.
 
The school will include a hackathon, during which participants will work in teams to tackle challenges in generative and multimodal AI for healthcare.
 
All lectures will be video recorded and made available to participants for 45 days after the event.
 
Full live online participation will be possible. Nevertheless, the organizers emphasize the importance of in-person interaction and networking in research training events of this kind.
 
KEYNOTE SPEAKERS
 
Deborah Estrin (Cornell University), Transforming Longitudinal Care with Digital Biomarkers and Therapeutics
 
Lyle Palmer (Adelaide University), Deep Learning in Medicine: Some Lessons from Epidemiology and Genomics
 
PROFESSORS AND COURSES
 
Pierre Baldi (University of California Irvine), [introductory/advanced] The AI-driven Healthcare of the Future
 
David Buckeridge (McGill University), [intermediate] Multi-Modal Data Analysis in Population and Public Health
 
Alejandro Frangi (University of Manchester), [intermediate/advanced] Virtual Patient Populations for In Silico Trials Using Generative AI Based on Multimodal Real-World Data
 
Charles Friedman (University of Michigan), [introductory] Synergizing AI and Learning Health Systems to Transform Health
 
Judy Wawira Gichoya (Emory University), [introductory/advanced] Combination in a Hands on Lab for Harmonizing Radiology Datasets
 
Maryellen Giger (University of Chicago), [introductory/intermediate] Role of Data & Algorithms in Trustworthy Medical Imaging AI
 
Casey Greene (University of Colorado), [introductory/advanced] Translating Generative AI into Healthcare from Pharmacogenomics to Foundation Models
 
Tina Hernandez-Boussard (Stanford University), [intermediate/advanced] The AI Lifecycle in Healthcare: Evaluation, Deployment, and Responsible Implementation
 
Jianying Hu (IBM Thomas J. Watson Research Center), [intermediate/advanced] Advanced Computing for Biomedical Research and Discovery
 
Jayashree Kalpathy-Cramer (University of Colorado), [introductory] Toward Digital Twins: Multimodal AI for Imaging and Precision Medicine
 
Alex John London (Carnegie Mellon University), [intermediate/advanced] Ethical and Scientific Challenges to Unlocking the Clinical Value of Artificial Intelligence
 
Asoke Nandi (Brunel University of London), [introductory/advanced] Selected Case Studies of Medical Image Segmentation
 
Tom Pollard (Massachusetts Institute of Technology), [introductory/intermediate] Data: The Foundation, Constraint, and Failure Mode of Deployable Health AI
 
Hoifung Poon (Recursion), [advanced] Toward Virtual Patient: AI for Accelerating Medical Discovery
 
Jian Tang (Mila-Québec AI Institute), [introductory/advanced] Generative AI for Protein Design
 
Peter van Ooijen (University of Groningen), [intermediate] Multimodal AI for Adaptive Radiotherapy: Tumor Segmentation, Uncertainty, and Explainability
 
Karin Verspoor (Royal Melbourne Institute of Technology), [introductory/intermediate] AI Scientists and beyond: Roles for GenAI in Biomedical Research and Discovery
 
Jelmer M. Wolterink (University of Twente), [intermediate/advanced] Data Representations in Health Digital Twinning: From Features to Foundation Models
 
HT RESEARCH PERSPECTIVES
 
Human Technopole will organize 3 scientific sessions:
 
Probabilistic Models for (Medical) Image Analysis, by Jan Funke, Florian Jug, Federico Carrara, and Benjamin Salmon
 
AI Models for Computational Biology, by Andrea Sottoriva, Michele Calabrò, and Manuel Dileo
 
AI in Health Data Science, by Francesca Ieva, Andrea Ganna, Michela Carlotta Massi, Nicole Fontana, and Alessia Mapelli
 
SYMPOSIUM
 
A symposium will feature voluntary 10-minute oral presentations on ongoing research projects and industrial developments.
 
Participants interested in presenting should submit a one-page abstract including title, authors, and summary to david@irdta.eu by January 8, 2027.
 
HACKATHON
 
Hands-on team activities will be organized around challenges in generative and multimodal AI for healthcare. The challenges will be released two weeks before the beginning of the school. A jury will evaluate the submissions, and the winners will be announced at the end of February 2027. Winning teams will receive a modest monetary prize, while runners-up will receive certificates of recognition.
 
ORGANIZING COMMITTEE
 
Jan Funke (Milan)
Ilaria Guerini (Milan)
Francesca Ieva (Milan)
Carlos Martín-Vide (Tarragona, program chair)
Michela Carlotta Massi (Milan, local chair)
Santiago Montes (Tarragona, webpage)
Sara Morales (Luxembourg, finances)
David Silva (London, organization chair)
 
REGISTRATION
 
Registration is available at:
 
 
The selection of six courses requested during registration is tentative and non-binding. This information will help estimate demand for logistical planning purposes.
 
As venue capacity is limited, registrations will be processed on a first-come, first-served basis. Registration will close once capacity has been reached. Early registration is strongly recommended.
 
FEES
 
Registration fees include access to all school activities and lunches.
 
Several early registration deadlines are available, and fees vary depending on the registration period.
 
Fees are identical for on-site and online participation.
 
ACCOMMODATION
 
Accommodation suggestions will be provided in due time at:
 
 
CERTIFICATE
 
Participants will receive a certificate indicating 40 hours of academic activities. This certificate should be suitable for participants seeking ECTS recognition from their home institutions.
 
SPONSORS
 
Companies, institutions, and organizations interested in sponsoring the event may download the sponsorship leaflet from:
 
 
QUESTIONS AND FURTHER INFORMATION
 
 
ACKNOWLEDGMENTS
 
Human Technopole
 
Universitat Rovira i Virgili
 
IRDTA – Institute for Research Development, Training and Advice

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IEEE HITC Award – Call for Nomination – 2026

September 1st, 2026 Daniela Lopez de Luise
Dear Colleagues:
Please accept our sincere apologies if you receive multiple copies of this message.
The IEEE Technical Committee on Hyper-Intelligence (HITC) is a technical committee within IEEE Systems Council, aimed at fostering research and education in hyper-intelligent systems with applications. The committee solicits nominations of 
• Technical Achievement Award
• Middle Career Researcher (MCR) Award
• Early Career Researcher (ECR) Award
• Outstanding PhD Dissertation Award
• Industrial Impact Award
Details can be found at:
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🌟 Last Seats Available! 🌟 International Artificial Intelligence Summer School — IAISS 2026 5 Days. World-Class Experts. Tuscany.

September 1st, 2026 Daniela Lopez de Luise
International Artificial Intelligence Summer School — IAISS 2026

5 Days. World-Class Experts. Tuscany.

Apologies for multiple copies — please forward to anyone who might be interested!

🧠 A Full-Immersion Experience in Frontier AI

Join us for an unforgettable week of cutting-edge lectures on AI and Generative AI, delivered by some of the most renowned researchers in the field — set against the stunning backdrop of the Tuscan coast.

📍 Riva del Sole Resort & SPA, Castiglione della Pescaia, Tuscany, Italy 🗓 September 20–24, 2026 🔗 2026.iaiss.cc✉️ iaiss@icas.cc

🎤 Meet Your Lecturers

An extraordinary faculty from leading institutions across the globe — each delivering up to four lectures on the frontiers of AI research:

Stefano V. Albrecht — Nanyang Technological University, Singapore

  • Introduction to Multi-Agent Reinforcement Learning
  • If Multi-Agent Foundation Models is the Answer, What is the Question?
  • Becoming an AI Researcher: Practical Advice for Graduate Students

Rafal Bogacz — University of Oxford, UK

  • Predictive coding: training neural networks with local rules
  • Predictive coding: advantages over backpropagation
  • Predictive coding: implementation

Giuseppe De Giacomo — University of Oxford, UK

  • Foundations of Guardrailing Agentic AI via Temporal Synthesis (3-part course)

Christoph Feichtenhofer — Meta Superintelligence Labs, USA

  • On the impact of data for vision-language learning (parts 1–2)
  • Building frontier visual segmentation models

Sven Giesselbach — T-Systems International, Germany

  • Agentic AI (parts 1–3)

Jamie Hayes — Google DeepMind, UK

  • Agentic Security: how to attack and defend against prompt injection (2 parts)

Sumi Helal — University of Bologna, Italy

  • Two lectures — titles to be announced

Albert Q. Jiang — Mistral AI, Paris & University of Cambridge, UK

  • Machines That Prove: Foundations of AI for Formal Methods and Mathematics
  • Machines That Reason: Foundation Models and the State of the Art in AI for Mathematics
  • Machines That Discover: The Future of Automated Mathematics

Marine Le Morvan — INRIA Saclay, France

  • The rise of Tabular Foundation Models
  • TabICL: an open Tabular Foundation Model
  • Next frontiers for TFMs

Bruno Lepri — FBK, Italy

  • Three lectures — titles to be announced

Sebastian Risi — Sakana AI, Japan & IT University of Copenhagen, Denmark

  • Three lectures — titles to be announced

George Paliouras — NCSR “Demokritos”, Athens, Greece

  • Complex Event Recognition/Forecasting and Applications
  • Large-Scale Probabilistic Complex Event Recognition/Forecasting
  • Neuro-Symbolic Reasoning and Learning for Complex Event Recognition/Forecasting

Panos Pardalos — University of Florida, USA

  • Impact of AI and Optimization on the economics of sustainability

👉 Explore the full lecturer bios 👉 Browse the lecture program

🏆 Present Your Own Research

Want to share your work with a world-class audience? Submit a research abstract (max 2 pages, any format) during registration. Our scientific committee will select contributions for poster presentations and/or short talks — plus a chance to compete for the IAISS Norbert Wiener Best Presentation Award in Artificial Intelligence.

⏰ Abstract deadline: September 6 🔗 See the Best Presentation Award

✅ Why Attend?

  • 36–40 hours of intensive lectures from top-tier researchers
  • Earn 8 ECTS points (PhD students and highly motivated Master's/BSc students)
  • Network with peers in a convivial, professional, and inspiring setting
  • A rare opportunity to learn directly from — and mingle with — the people shaping the future of AI

Who should attend: PhD students, PostDocs, junior academics (up to Assistant Professor level), industry practitioners, and exceptionally motivated Master's/BSc students.

Language: English

🏨 The Venue

Riva del Sole Resort & SPA Località Riva del Sole, Castiglione della Pescaia (Grosseto), 58043, Tuscany, Italy 📞 +39 0564 928111 | ✉️ booking.events@rivadelsole.it 🔗 rivadelsole.it

IAISS is a fully residential school — all participants and lecturers stay together at the same resort, creating a truly immersive, community-driven learning experience. No exceptions.

To join us, simply:

  1. Register for the school
  2. Book your stay at Riva del Sole Resort & SPA using the IAISS discounted rates (accommodation form provided at registration)
  3. Send your booking confirmation number to iaiss@icas.cc

Sharing an apartment? Send the Hotel your co-guest's name, surname, and email — otherwise, book a single-use apartment.

IAISS is proudly organized as a non-profit scientific event.

🚀 Seats Are Limited — Register Now!

👉 Register here

📚 Past editions | ❓ FAQ | 📰 Latest news | 💼 LinkedIn group

See you this September in Riva del Sole! — The IAISS 2026 Organizing Committee

🔗 2026.iaiss.cc | ✉️ iaiss@icas.cc

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