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 (MOD 2015 & LOD 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 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.
All papers must be submitted using EasyChair.
Paper Submission deadline: Tuesday June 23, 2026 (AoE)
Any questions regarding the submission process can be sent to conference organizers: ais@icas.cc.
Keynote Speakers
(TBA)
Tutorial Speakers
(TBA)
General Chairs
(TBA)
Program Chairs
Special Sessions Chair
(TBA)
Tutorial Sessions Chair
(TBA)
Industrial Session Chair
(TBA)
Publicity Chairs
(TBA)
Steering Committee
Deadlines
- Paper Submission Deadline: by Tuesday June 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: October 4 – 7, 2026.
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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.
(TBA) - LOD 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. - LOD 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. - LOD 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. - LOD 2022
The Eighth International Conference on Machine Learning, Optimization and Big Data
Castelnuovo Berardenga – Tuscany, Italy.
Nature Springer – LNCS volumes 13810 and 13811. - LOD 2021
The Seventh International Conference on Machine Learning, Optimization and Big Data
Grasmere – Lake District – England, UK.
Nature Springer – LNCS volumes 13163 and 13164. - LOD 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. - LOD 2019
The Fifth International Conference on Machine Learning, Optimization and Big Data
Castelnuovo Berardenga – Tuscany – Italy.
Nature Springer – LNCS volume 11943. - LOD 2018
The Fourth International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy.
Nature Springer – LNCS volume 11331. - MOD 2017
The Third International Conference on Machine Learning, Optimization and Big Data
Volterra – Tuscany – Italy.
Springer – LNCS volume 10710. MOD 2017 Poster. - MOD 2016
The Second International Conference on Machine learning, Optimization and big Data
Volterra – Tuscany – Italy.
Springer – LNCS volume 10122. MOD 2016 Poster. - MOD 2015
International Conference on Machine learning, Optimization and big Data
Taormina – Sicily – Italy.
Springer – LNCS volume 9432.














