Conférences  >  Mathématiques  >  Réseaux de neurones et intelligence artificielle, apprentissage automatique

Software & Support Media

MLCon San Diego brings together data scientists, ML engineers, and AI enthusiasts for an immersive experience in the heart of California’s innovation hub. Whether you're attending on-site or online, this conference is your gateway to the latest advancements in generative AI, deep learning, and production-ready ML solutions.

machine learning, artificial intelligence, MLops, ai tools, generative ai

ENSA Al-Hoceima

ENSA Al-Hoceima;     Tél.: [+212660600793];     Email.: ic.jiama25@gmail.com

IA, applied mathematics, computer sciences, Modelisation, Numerical analysis, Simulation

Sichuan Province Computer Federation

2025 The 8th International Conference on Artificial Intelligence and Big Data (ICAIBD 2025) will take place on May 23-26, 2025 in Chengdu, China. It is sponsored by Sichuan Province Computer Federation and technically assisted by many local and international universities. This conference provides you opportunity to meet with academicians as well as practitioners in the fields of Artificial Intelligence and Big Data from all over the world, and get the latest insights from every area of Artificial Intelligence and Big Data theory and practice. ICAIBD features invited keynote speech, peer-reviewed paper presentations, and academic visit. The conference is completely open (one needs to register first), you will not have to be an author or a discussant to attend. Submissions will be peer-reviewed and evaluated based on originality, relevance to conference, contributions, and presentation. We invite the submission of original research contributions.

Tél.: [86-28-87777577];     Email.: emmaawang2019@sina.com

Artificial Intelligence Intelligent information systems Intelligent data mining and farming Intelligent web-based business Intelligent agents Intelligent networks Intelligent databases Intelligent user interface AI and evolutionary algorithms Intelligent tutoring systems Reasoning strategies Distributed AI algorithms and techniques Distributed AI systems and architectures Neural networks and applications Heuristic searching methods Languages and programming techniques for AI Constraint-based reasoning and constraint programming Intelligent information fusion Learning and adaptive sensor fusion Search and meta-heuristics Multisensor data fusion using neural and fuzzy techniques Integration of AI with other technologies Evaluation of AI tools Social intelligence (markets and computational societies) Social impact of AI Emerging technologies Brain models, Brain mapping, Cognitive science Natural language processing Fuzzy logic and soft computing Software tools for AI Decision support systems Automated problem solving Big Data Models and Algorithms Foundational Models for Big Data Algorithms and Programming Techniques for Big Data Processing Big Data Analytics and Metrics Representation Formats for Multimedia Big Data Big Data Architectures Cloud Computing Techniques for Big Data Big Data as a Service Big Data Open Platforms Big Data in Mobile and Pervasive Computing Big Data Management Big Data Persistence and Preservation Big Data Quality and Provenance Control Management Issues of Social Network Big Data Big Data Protection, Integrity and Privacy Models and Languages for Big Data Protection Privacy Preserving Big Data Analytics Big Data Encryption Big Data Search and Mining Algorithms and Systems for Big Data Search Distributed, and Peer-to-peer Search Machine learning based on Big Data Visualization Analytics for Big Data Big Data for Enterprise, Government and Society Big Data Economics Big Data for Business Model Innovation Big Data Toolkits Big Data in Business Performance Management SME-centric Big Data Analytics

Institute for Computational and Experimental Research in Mathematics, Brown University, Providence, RI (ICERM)

The aim of this workshop is to bring together participants from computational mathematics and gravitational wave astronomy to tackle computational challenges in leveraging data-driven methods in key areas of gravitational wave data analysis in order to maximize the science output of the ongoing and upcoming observations. The areas of focus will be: (i) noise classification and detection, (ii) waveform modeling and uncertainty quantification, and (iii) source parameter and astrophysical population Bayesian inference.

MIPRO Croatian Society

The mission of the HCI Conference is to provide a welcoming venue for established and new scholars under the broad umbrella of human-computer interaction. Our sessions will be developmental, designed to foster the growth of the HCI field and those working to begin or expand their research program. All submitting authors are expected to provide peer-reviews of other paper submissions.

Dario Ogrizovic - conference chair;     Tél.: [+38551423984];     Email.: dario@uniri.hr

Analysis, design, development, evaluation, and/or use of HCI devices using any methods (e.g., behavioral) or contexts (e.g., e-Commerce), Guidelines for HCI design, including privacy and security enhancement, Design and evaluation issues for mobile devices and m-Commerce, HCI design for group and other collaborative environments, Human interaction with chatbots and other AI systems, Generative AI and its interactions with humans, Interface design for generative AI and prompt engineering, Design for virtual reality (VR), including augmented reality (AR), mixed reality (MR), extended reality (XR) and 3D user interfaces (3DUIs), Design for the elderly, the young, and special needs populations, Issues in the design and development of emerging HCI devices, Novel forms of authentication and authorization (e.g., raw HCI data) Ÿ Using HCI information and sensors to detect user states (e.g., emotion, cognitive conflict) and create more intelligent designs Ÿ Influence of HCI devices on attitudes, emotions, perception, and behavior Ÿ Applying HCI to overcome challenges related to IS use (e.g., technostress) Ÿ Influence of digital nudges on online judgment and decision making Ÿ Influence of behavioral economics principles and website design implementation on privacy and trust Ÿ Implications and consequences of ICT on individuals, groups, society, and socio-technical units Ÿ Behavioral, neurophysiological, and design aspects of HCI Ÿ Factors influencing usability, ease-of-use and the user experience Ÿ Issues related to teaching HCI principles and courses Ÿ Ethical issues related to the capture of Personally Identifiable Information (PII), behavioral biometric data, and nudging

Interface homme-machine, expérience utilisateur, la réalité virtuelle,    Mise en œuvre et applications de l'intelligence artificielle

MIPRO Croatian Society

Artificial Intelligence (AI) has been an important area of research in recent years, with rapid and significant advances occurring every month. AI involves not only the development of machine learning models, but also their integration into various technical systems for the purposes of automation and expansion of human knowledge. The conference will address topics related to the underlying technologies of AI systems, methods and tools, as well as all kinds of applications. Original scientific papers, reviews, and technical papers on various aspects of AI systems are welcome.

Alan Jovic - conference chair;     Tél.: [+38551423984];     Email.: alan.jovic@fer.hr

Artificial Intelligence, Artificial Intelligence in Industry, Machine Learning & Deep Learning, Signal, Image, and Video Processing & Analysis, Natural Language Processing & Text Analysis, Knowledge-Based Systems, Formal Methods & Neuro-Symbolic Artificial Intelligence, Hardware Architectures for Artificial Intelligence, Trustworthy Artificial Intelligence & Explainability, Soft Computing & Optimization

Mise en œuvre et applications de l'intelligence artificielle,    Reconnaissance de formes et traitement d'image, vision par ordinateur

MIPRO Croatian Society

The DS-BE conference aims to showcase new research and advancements in computational methods, tools, and applications related to Data Science and Biomedical Engineering. We invite high-quality, original research papers highlighting theoretical and practical innovations in these areas, expecting interdisciplinary approaches promoting scalable solutions for real-world challenges. The conference focuses on hardware and software solutions designed to address specific domain-related challenges related to various domains in science and industry. Additionally, it encompasses broader research initiatives that provide generalizable approaches across data-driven disciplines.

Karolj Skala - conference chair;     Tél.: [+38551423984];     Email.: skala@irb.hr

Machine Learning and Deep Learning, Complex Networks: Structure, Behavior, and Dynamics, Knowledge Discovery and Interpretability, Data Science Methods, Tools and Platforms, Big Data Analysis and Visualization, Service Applications Based on Cloud, Fog, and/or Dew Computing, Interpretable and Explainable Machine Learning, Expert Systems and Knowledge-Based Systems, Knowledge Representation and Management, Natural Language Processing and Text Mining, Ethical AI, Data Science in Computational Biology and Medicine, Biological Network Analysis, Drug Target Identification and Validation, Medical and Biological Image Analysis, Analysis and Visualization of Biological and Clinical Data, Bioinformatics and Medical Applications, Advanced Bio-Signal Processing and Interpretation, Monitoring of Vital Functions with Sensor and ICT Systems, Wearable Sensors and Networks in Distributed Systems, Telehealth, Telecare, Telemonitoring, and Telediagnostics, Social Networking, Computing, and Education for Health, Internet of Things (IoT) for mHealth, Data Models and Representations for mHealth, Information Fusion of Biomedical Data, Biomedical Scientific Databases

Calcul scientifique et science des données,    Génomique et bio-informatique

TechWell

Welcome to the cutting-edge world of artificial intelligence and machine learning. AI Con USA brings together leading experts, researchers, innovators, and companies from around the globe to explore the latest developments in AI and machine learning. Whether you are a seasoned professional, a researcher, or an enthusiast eager to stay at the forefront of AI and machine learning, AI Con USA provides a dynamic environment for knowledge exchange, collaboration, and inspiration.

Client Support;     Tél.: [+1.904.278.0524];     Email.: clientsupport@techwell.com

AI, artificial intelligence, machine learning, LLM, RAG, software engineering

ICAS - The Interdisciplinary Centre of Advanced Studies

The 8th Advanced Course on Data Science & Machine Learning – ACDL 2025 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researches, 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 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 – BSc Student) attending the Course.

Event Secretariat;     Email.: acdl@icas.cc

artificial intelligence, generative artificial intelligence, large language models, foundation models, NLP, computational linguistics, deep learning, machine learning, data science, big data.

Mise en œuvre et applications de l'intelligence artificielle,    Traitement automatique des langues, Linguistique informatique

Data for Policy CIC & Leiden University

Data for Policy envisions a future where data-driven technologies shape a more equitable and informed world. At the forefront of this vision is the concept of twin transitions—digital and green transformations—that form the heart of the 2025 conference theme, “Twin Transitions in Data and Policy for a Sustainable and Inclusive Future”. This theme emphasizes how data-driven strategies can address complex issues like environmental impact and social equity.

Community Manager;     Email.: communications@dataforpolicy.org

Twin Transitions, Data Policy, Data Science, Artificial Intelligence, Digital Transition, Digital Inovation, AI Governance

Science politique,    Calcul scientifique et science des données

Chongqing University of Posts and Telecommunications

2025 The 6th International Conference on Pattern Recognition and Machine Learning (PRML) will take place in Chongqing, China during June 13 to 16, 2025. Sponsored by Chongqing University of Posts and Telecommunications, the conference aims to provide a high-level platform for academic exchange among researchers worldwide. We warmly invite researchers and engineers from academia and industry to submit their contributions and join us at the event to share insights and celebrate advancements in the field.

In recent years, the fields of pattern recognition and machine learning have seen remarkable advancements, particularly in applications such as image processing, natural language processing, autonomous driving, medical diagnostics, and intelligent manufacturing. These technologies have emerged as critical pillars of intelligent society. Established in 2020, the PRML conference series aims to foster academic research and technological innovation in these domains. As an annual international conference, PRML attracts experts and scholars from around the globe, offering a platform for showcasing technological advancements, disseminating research findings, and exploring future trends. The conference topics span fundamental theories, algorithm design, and applications of pattern recognition and machine learning across various industries, including cutting-edge areas such as deep learning, reinforcement learning, transfer learning, big data analytics, computer vision, and speech recognition.

Tél.: [+86-18080097050];     Email.: Ian@cbees.net

Track 1: Computer Vision and Recognition ◇ Image and Video Classification ◇ Object Detection and Tracking ◇ Semantic Segmentation ◇ Content-based Image Retrieval ◇ Facial Recognition ◇ 3D Reconstructions ◇ Action Recognition Track 2: Deep Learning and Optimization ◇ Neural Generative Models, Autoencoders, GANs ◇ Optimization and Learning Methods ◇ Representation Learning and Deep Learning ◇ Scene Analysis and Understanding ◇ Transfer Learning, Low-Shot, Semi- and Unsupervised Learning ◇ Motion and Tracking Track 3: Artificial Intelligence (AI) in Biomedical Applications ◇ AI in Biomedical Signal and Image Processing ◇ Bioinformatics for Healthcare Wngineering ◇ Explainable AI, Fairness, Accountability, Privacy, Transparency and Ethics in Vision ◇ Biomedical Image Retrieval, Segmentation, Grouping and Shape using AI ◇ Applying Machine Learning-empowered Sensing to Biomedical Scenarios ◇ Distributed Computing for Big Data in Smart Healthcare using AI ◇ AI-enabled Remote Patient Monitoring using Big Data Track 4: Vision Applications and Systems (Click) ◇ Segmentation, Grouping, and Shape ◇ Vision + Language, Vision + Other Modalities ◇ Video Analysis and Understanding ◇ Vision Applications and Systems ◇ Vision for Robotics and Autonomous Vehicles ◇ Visual Reasoning and Logical Representation Track 5: Artificial Intelligence (AI) for Data Analytics ◇ Data Clustering, Classification, and Visualisation ◇ Explainable AI and Knowledge Discovery from Databases ◇ Fintech, Business Intelligence, Marketing Analytics, Risk Analytics and Decision Support ◇ Medical Diagnosis and Prognosis, Biomedical and Healthcare Analytics ◇ Predictive Maintenance, Condition Monitoring, Manufacturing Analytics ◇ Data Mining in Education, Transportation, Telecommunication, Agriculture, Energy, etc.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar will focus on bridging the gap between deep learning and knowledge graphs, and will discuss their integration: neurosymbolic AI. The aim is to advance the understanding of how symbolic knowledge - in the form of KGs - can be used to improve the capabilities of DL systems, and how DL can advance KG construction and applications.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In a little over a year since the release of ChatGPT, language models (LMs) have stirred concerns in government, over the possibility that citizens will come to believe the textual and spoken output of such models. Similarly, they have caused panic in education, forcing a rethink of what students are learning and how to assess it. Of concern to us here, is whether LMs mean the end of computational and/or cognitive models of human language learning and language use. Does the practical success of LMs mean that computational linguistics (and perhaps even linguistics itself) is no longer relevant? Or are we missing problems with LMs that computational linguistics (and linguistics more generally) could help us both recognize and surmount?

Mise en œuvre et applications de l'intelligence artificielle,    Traitement automatique des langues, Linguistique informatique

2025 7th Asia Conference on Machine Learning and Computing will be held in Hong Kong, China during July 25-27, 2025. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government who are working in the field of machine learning and computing to discourse on research and development, professional practice in related fields.

Tél.: [+86-186-2405-8113];     Email.: helen@academic.net

TRACK 1: Machine Learning Theory and Applications Track Chair: Prof. Ke-Lin Du, Guangdong University of Science and Technology, China Recommender Systems Deep Learning Supervised Learning Reinforcement Learning Neural Networks and Applications Computational Theories of Learning Intelligent Search Statistical Learning Real-time Decisions Big Data Visualization Image Classification Robot Navigation Data Mining TRACK 2: Intelligent Computing and Algorithms Track Chair: Assoc. Prof. Abolfazl Razi, Clemson University, USA Computer Modeling Parallel Computing Quantum Computing High Performance Computing Distributed and Parallel Systems Cognitive Computing Cloud Computing Distributed Computing Grid Computing Embedded Computing Scalable Computing Human-centred Computing Mobile Computing

International Association of Computer Science and Information Technology

The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025) will be held in Kyoto, Japan during July 25-27, 2025. MLMI 2025 is organized by Ritsumeikan University, Japan.

Email.: aimee@iacsit.net

Artificial Neural Networks; Genetic Algorithms; Machine Learning; Automata, Logic and Games; Intelligent Systems; Bayesian Networks; Logic and Proof; Commercial Software;

Algorithmes et structures de données,    Conception et gestion des bases de données, Moteurs de recherche et extraction de connaissances à pa

International Association of Computer Science and Information Technology

The 3rd International Conference on Machine Learning and Pattern Recognition (MLPR 2025) will be held in Kyoto, Japan during July 25-27, 2025. MLPR 2025 is organized by Ritsumeikan University, Japan. The conference includes keynote talks, invited talks, forums and oral and poster presentations of author papers. We invite submissions of papers on all topics related to machine learning and pattern recognition for the main conference proceedings. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference.

Email.: aimee@iacsit.net

Machine Learning; Active learning; Dimensionality reduction; Feature selection; Pattern Recognition; Analysis and detection of singularities; Animation image analysis; Classification; Cluster analysis;

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar aims to bring together experts and stakeholders in Generative AI and computing education to foster collaboration and to chart a way forward as Generative AI continues to improve and proliferate. It is the goal of this seminar to leverage the experience and knowledge of dozens of programming education experts from around the world to form an enduring community of practice. During the Dagstuhl Seminar, we intend to develop strategies for incorporating LLMs into programming education and to rigorously evaluate their use and impact. This seminar will explore the following topics in the context of Generative AI in programming education: accessibility; diversity, equality, and inclusion; resources; introductory programming for computer science majors and non-majors; advanced courses (that use programming); curriculum changes; novel pedagogies, approaches and tools; and industry use and changes that may lead to new learning outcomes.

Enseignement assisté par ordinateur,    Pédagogie de la science

The aim of this Workshop is to provide an overview of recent advances and challenges in artificial intelligence, internet of things and their integration, and in particular to solicit contributions on real-world applications. Furthermore, this workshop offers an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in this area.

Email.: a2iotworkshop@gmail.com

L'Internet des objets (IoT) et réseau de capteurs,    Mise en œuvre et applications de l'intelligence artificielle

Fora Group

Ai4 2025, held at the MGM Grand in Las Vegas, is North America’s largest AI industry conference, gathering over 8,000 attendees, 600+ speakers, & 250+ exhibits. Discover the latest applications in AI, explore best practices shaping the future of AI, and enjoy unbeatable networking. Join us as at the epicenter of the global AI community.

Email.: info@ai4.io

Artificial Intelligence

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Géométrie et topologie,    Optimisation, recherche opérationnelle

Institute for Computational and Experimental Research in Mathematics, Brown University, Providence, RI (ICERM)

Can machines prove theorems? Can they have mathematical ideas? On one hand, category theory offers a formalism for axiomatising ideas from machine learning. On the other hand, mathematicians are excited about the prospect of utilising machine learning techniques to spot new patterns in vast swathes of combinatorial data and hence formulate new conjectures. The purpose of this workshop is to bring together experts from across algebraic combinatorics, category theory, and machine learning in order to make headway on topics at the intersection of these fields.

University of Catania, Italy & University of Florida, USA

LOD 2025, An Interdisciplinary Conference: Deep Learning, Foundation Models & Artificial Intelligence without Borders

Event Secretariat;     Email.: lod@icas.cc

Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data, Optimization, Generative AI, Foundation Models, Large Language Models

Gestion des connaissances, Big Data Computing,    Traitement automatique des langues, Linguistique informatique

University of Catania, Italy & University of Florida, USA

The Advanced Course and Symposium on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment.

Event Secretariat;     Email.: acain@icas.cc

Artificial Intelligence, Neuroscience, Cognitive Science, Computational Neuroscience, Foundation models, Large Language Models.

Reconnaissance de formes et traitement d'image, vision par ordinateur,    Neurologie

ICAS - University of Catania, Italy

IAISS 2025 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. 

Event Secretariat;     Email.: iaiss@icas.cc

Artificial Intelligence, Generative Artificial Intelligence, Large Language Models, Foundation Models, Deep Learning, Machine Learning

Traitement automatique des langues, Linguistique informatique,    Calcul scientifique et science des données

Stripe Conferences

Join us for the AI Industry 4.0 Conference on September 22-23, 2025, in Osaka, Japan. This AI summit, themed “Shaping the Future: New Ideas and Uses in AI,” brings together global experts to talk about the newest AI technologies. Attendees can join research talks, workshops, and hands-on lessons. This global AI Industry 4.0 summit meeting will cover subjects like artificial general intelligence, chatbots, Artificial Intelligence and Robotics for Industry for 4.0. The event lineup includes the AI & ML Summit, Responsible AI Summit, and Big Data Conference. Both professionals and beginners in AI and machine learning will gain practical information and experience from this global AI Event. At one of Japan’s most anticipated AI events, don’t pass up the opportunity to network with the international AI community and learn about the direction artificial intelligence is taking.

Stripe Conferences;     Tél.: [+1 630 768 1199];     Email.: ai@cognitivetechsummit.com

Smart Manufacturing Systems Predictive Maintenance AI Industrial Robotics Automation AI-driven Quality Control Supply Chain Optimization Digital Twin Technology IoT-Enabled AI AI in Logistics

Mise en œuvre et applications de l'intelligence artificielle,    Ingénierie et l'industrie (en général)

Stripe Conferences

Join us for the Artificial Intelligence Conference on October 13-14, 2025, in Zurich, Switzerland This AI summit, themed “Shaping the Future: New Ideas and Uses in AI,” brings together global experts to talk about the newest AI technologies. Attendees can join research talks, workshops, and hands-on lessons. This global AI Event meeting will cover subjects like artificial general intelligence, chatbots, convolutional neural networks, and deepfakes. The event lineup includes the AI & ML Summit, Responsible AI Summit, and Big Data Conference. Both professionals and beginners in AI and machine learning will gain practical information and experience from this global AI conference. At one of Japan’s most anticipated AI events, don’t pass up the opportunity to network with the international AI community and learn about the direction artificial intelligence is taking.

Stripe conferences;     Tél.: [+1 630 768 1199];     Email.: ai@cognitivetechsummit.com

AI & Big Data AI & Robotics Data science Deep learning Data Analytics Artificial Intelligence in Healthcare Internet of things (IOT) AI Finance

The 8th Asia Conference on Cognitive Engineering and Intelligent Interaction (CEII 2025) will be held during December 19-21, 2025 in Hong Kong, China. CEII was initiated in 2018 and held in Shanghai. It has been successfully held for four editions as a workshop in Shanghai AI Submit (SHAI2018).

Tél.: [+86-13310183307];     Email.: cfp@ceii.asia

Artificial Intelligence and Soft Computing Cognitive Science and Computational Biology Cognitive Engineering and Human-AI Teaming Extended Interaction Models and Systems Computer vision & image processing/recognition

Mise en œuvre et applications de l'intelligence artificielle,    Formation en informatique

South African AI Association

Back for its 8th edition, AI Expo Africa is the largest Enterprise AI trade event and conference in Africa. AI Expo Africa 2025 will run 29-31st Oct 2025 in Johannesburg South Africa at the prestigious Sandton Convention Centre, uniting 2500 decision makers, investors, buyers, suppliers, innovators, SMMEs and global brands. This year it will also be joined by the inaugural UN ITU AI4Good Impact Africa Summit focused on how AI can be used to solve the UN SDGs.

Event Manager;     Email.: enquiries@aiexpoafrica.com

Machine / Deep Learning Business Solutions RPA / Intelligent Process Automation CX / UX / Chatbots / Conversational AI Avatars / Agents / Autonomous Enterprise Platform AI / NLP / LLMs / SLMs Creative Media / Generative AI Big Data / Data Ops / Analytics Cloud / Data Centre / Storage / Super Computing ML Ops / Frameworks AI in Security & DevSecOps IoT / Mobile / Edge AI Smart Devices / Hardware Autonomous Systems / Industrial Robots AR VR / Mixed Reality / Metaverse / Web3 Training / Education & Skills Women in AI Applied University R&D AI4Good / Ethics / Privacy / Standards Regulation / Policy / Responsible AI Smart Cities / Smart Society & Smart Citizen National AI Strategies / Community Building / Investing

Mise en œuvre et applications de l'intelligence artificielle,    Calcul scientifique et science des données

Stripe Conferences

Join us for the Generative AI Conference on November 10-11, 2025, in Osaka, Japan. This AI Event, themed “Shaping the Future: New Ideas and Uses in AI,” brings together global experts to talk about the newest AI technologies. Attendees can join research talks, workshops, and hands-on lessons. This global Generative AI summit meeting will cover subjects like artificial general intelligence, chatbots, and Businessworld Gen AI Summit. The event lineup includes the AI & ML Summit, Responsible AI Summit, and Big Data Conference. Both professionals and beginners in AI and machine learning will gain practical information and experience from this global AI conference. At one of Japan’s most anticipated AI events, don’t pass up the opportunity to network with the international AI community and learn about the direction artificial intelligence is taking.

Stripe Conferences;     Tél.: [+1 630 768 1199];     Email.: ai@cognitivetechsummit.com

Generative Adversarial Networks AI-driven Content Creation Text Generation Models Creative AI Applications Generative AI Model Training 3D Model Generation Story Generation AI Language Model Advances