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New Name: from LOD to AIS

We are pleased to announce that the conference formerly known as LOD has been renamed the Artificial Intelligence Symposium (AIS). This change reflects the significant evolution the conference has undergone in recent years. Indeed, over the past five years, the event has progressively established itself as a fully AI-focused venue.

The new name is therefore intended to more accurately represent the conference’s scope, focus, and scholarly community.

We look forward to welcoming participants to Tuscany this September for AIS 2026!

AIS 2026 & IAISS 2026

As in previous editions, the conference will be co-located with the International Artificial Intelligence Summer School (IAISS 2026), fostering a unique and stimulating environment for interdisciplinary exchange.

This co-location is intended to strengthen the interaction between researchers, practitioners, and students, promoting the cross-fertilization of ideas and the development of new collaborations within the artificial intelligence community.

All conference participants will have full access to IAISS 2026 activities, including IAISS 2026 keynote lectures delivered by leading experts, thereby enriching the overall scientific experience and providing additional opportunities for learning, discussion, and networking.

Remote Presentations

Remote presentation options will be available for AIS 2026. Authors of accepted papers may choose to present their work remotely via Zoom.

Authors opting for remote presentation will be eligible for a 50% reduction in the registration fee.

AIS 2026

The 12th  Artificial Intelligence Symposium (AIS) is an international annual conference on artificial intelligence, large language models, machine/deep learning, foundation models, and generative artificial intelligence. The conference includes invited talks, tutorials, special sessions, industrial tracks, demonstrations, and oral and poster presentations of refereed papers.

The AIS has established itself as a premier interdisciplinary conference in AI, deep/machine learning,  LLMs, computational optimization, data science, foundation models and generative AI. It provides an international forum for the presentation of original interdisciplinary research results, and the exchange and dissemination of innovative and practical development experiences.

We invite submissions of papers, abstracts, posters, talks and demos on all topics related to Artificial Intelligence including real-world applications for the Conference Post-Proceedings – Springer-Nature Lecture Notes in Computer Science (LNCS).

AIS 2026 is a residential conference, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed.


The AIS Conference Manifesto

“The problem of understanding intelligence is said to be the greatest problem in science today and “the” problem for this century — as deciphering the genetic code was for the second half of the last one.
Arguably, the problem of learning represents a gateway to understanding intelligence in brains and machines, to discovering how the human brain works, and to making intelligent machines that learn from experience and improve their competences as children do.
In engineering, learning techniques would make it possible to develop software that can be quickly customized to deal with the increasing amount of information and the flood of data around us.”

“The Mathematics of Learning: Dealing with Data“

Tomaso Poggio (AIS 2015 & 2020 Keynote Speaker) & Steve Smale

“Artificial Intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the Asilomar AI Principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead.”

The Asilomar AI Principles

The Asilomar AI Principles have been adopted by the AIS  since their initial formulation (3-5 January 2017). Since then they have been an integral part of the Manifesto of AIS.


Papers submission

All papers must be submitted using EasyChair.

Paper Submission deadline: Saturday May 23, 2026 (AoE)

Any questions regarding the submission process can be sent to conference organizers: ais@icas.cc.


General Chairs

Varun Ojha
Newcastle University, UK
Panos Pardalos
University of Florida, USA

Program Chairs

Giuseppe Di Fatta
Free University of Bozen-Bolzano, Bolzano, Italy
Sven Giesselbach
T-Systems International, Germany
Giuseppe Nicosia
University of Catania, Italy

Publicity Chairs

Thomas Borsani
Free University of Bozen-Bolzano, Italy
Giulio Giaquinta
University of Padova, Italy

Steering Committee

Giuseppe Nicosia
University of Catania, Italy
Panos Pardalos
University of Florida, USA




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Deadlines

  • Paper Submission Deadline: by Saturday May 23, 2026.
  • Paper Decision Notification to Authors: by Monday July 13, 2026.
  • Camera Ready Submission Deadline: by Thursday July 23, 2026.
  • Author Registration: by Thursday July 23, 2026.
  • Regular Registration: by Thursday July 23, 2026.

 

  • Accommodation Riva del Sole Hotel & SPA: by Thursday July 23, 2026.
  • Symposium: September 21 – 24, 2026.


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    Venue

    Riva del Sole Resort & SPA

    Castiglione della Pescaia/ Grosseto – Tuscany / Italy

    www.rivadelsole.it
    —
    +39-0564-928111 – booking.events@rivadelsole.it

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    Past Editions


    Many international well-known experts in Artificial Intelligence, Machine/Deep Learning, Data Science and Generative Artificial Intelligence have joined AIS/LOD.

    • AIS 2026
      The Twelfth Artificial Intelligence Symposium
      Riva del Sole Resort & SPA – Tuscany, Italy.
      October 4-7, 2026
    • 2025
      The Eleventh International Conference on Machine Learning, Optimization and Big Data
      Riva del Sole Resort & SPA – Tuscany, Italy.
      Nature Springer – LNCS volumes 16467 and 16468.
    • 2024
      The Tenth International Conference on Machine Learning, Optimization and Big Data
      Riva del Sole Resort & SPA – Tuscany, Italy.
      Nature Springer – LNCS volumes 15508, 15509, and 15510.
    • 2023
      The Ninth International Conference on Machine Learning, Optimization and Big Data
      Grasmere – Lake District – England, UK.
      Nature Springer – LNCS volumes 14505, 14506, and 14507.
    • 2022
      The Eighth International Conference on Machine Learning, Optimization and Big Data
      Castelnuovo Berardenga – Tuscany, Italy.
      Nature Springer – LNCS volumes 13810 and 13811.
    • 2021
      The Seventh International Conference on Machine Learning, Optimization and Big Data
      Grasmere – Lake District – England, UK.
      Nature Springer – LNCS volumes 13163  and 13164.
    • 2020
      The Sixth International Conference on Machine Learning, Optimization and Big Data
      Castelnuovo Berardenga – Tuscany – Italy.
      Nature Springer – LNCS volumes 12565 and 12566. Video Keynote Speakers: Tomaso Poggio, Yoshua Bengio, Naftali Tishby, Pierre Baldi. Video Naftali Tishby.
    • 2019
      The Fifth International Conference on Machine Learning, Optimization and Big Data
      Castelnuovo Berardenga – Tuscany – Italy.
      Nature Springer – LNCS volume 11943.
    • 2018
      The Fourth International Conference on Machine Learning, Optimization and Big Data
      Volterra – Tuscany – Italy.
      Nature Springer – LNCS volume 11331.
    • 2017
      The Third International Conference on Machine Learning, Optimization and Big Data
      Volterra – Tuscany – Italy.
      Springer – LNCS volume 10710. MOD 2017 Poster.
    • 2016
      The Second International Conference on Machine learning, Optimization and big Data
      Volterra – Tuscany – Italy.
      Springer – LNCS volume 10122. MOD 2016 Poster.
    • 2015
      International Conference on Machine learning, Optimization and big Data
      Taormina – Sicily – Italy.
      Springer – LNCS volume 9432.