Conférences  >  Informatique  >  Mise en œuvre et applications de l'intelligence artificielle

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Algorithmes et structures de données

Quantum Techniques in Machine Learning (QTML) is an annual international conference focusing on the interdisciplinary field of quantum technology and machine learning. The goal of the conference is to gather leading academic researchers and industry players to interact through a series of scientific talks focussed on the interplay between machine learning and quantum physics.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Théorie de l'information quantique et informatique quantique

Software & Support Media GmbH

Join us for MLCon Berlin, happening from November 25–29, 2024, in the innovative city of Berlin. This conference is the go-to event for data scientists, machine learning engineers, and AI enthusiasts eager to explore the latest advancements in machine learning and artificial intelligence. Whether you're an experienced professional or just starting in the field, MLCon Berlin offers a unique opportunity to gain cutting-edge knowledge and practical skills to excel in your career.

Tél.: [017693102012];     Email.: marketing@sandsmedia.com

Generative AI and LLMs, MLOps, Advanced ML Development, ML Tools, APIs & Frameworks, ML Business & Strategy, ML Basics & Principles, ML Fundamentals Bootcamp

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

At the Dagstuhl Seminar on RNA Regulation and Multidimensional Transcriptomics, we will delve into the intersection of computational biology, deep learning, and RNA research. The event will explore how cutting-edge AI technologies are reshaping our understanding of RNA-based gene regulation and its role in health and disease.

Génomique et bio-informatique,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Perspectives Workshop aims, first of all, to bring together the communities working on the related areas of learning through interaction, (conversational) agents in games, dialogue and interaction, and collecting judgments from crowds through games, to make each community aware of the most recent developments in the other areas. We also intend to discuss current challenges, and whether advances in one area (e.g., grounded interaction) can benefit other areas (e.g., interactive learning).

WEKA FACHMEDIEN GMBH

Der zweite »Medical Solution Day« widmet sich 2024 der »KI für die Medizingeräte-Entwicklung« und den drängendsten Entwickler-Fragen zur KI-Integration: Was können KI-Algorithmen in medizinischen Anwendungen leisten, und wie lassen sie sich dort implementieren, aktualisieren und skalieren? Wie sollten MedTech-Entwickler – auch unter regulatorischen Aspekten – dabei vorgehen? Führende Technologie- und Medizin-Experten teilen Ihre KI-Expertise, um komplexe Medizin-KI-Anwendungen zu verstehen und zu entwickeln. Sie geben Hilfestellungen an die Hand und berichten über praktische und klinische Anwendungen in der Medizintechnik.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Generative AI systems are rapidly being integrated into global systems of cultural communication, consumption, and production. As these technologies shape our cultures, we urgently need conceptual foundations for investigating the cultural inclusivity of generative AI pipelines (from data collection, to model development and deployment, to evaluation), as well as methods to study the varying societal and cultural impacts of generative AI. This Dagstuhl Seminar wants to bring together scholars and practitioners from computer science, social sciences, the tech industry, and creative industries to discuss the cultural implications of generative AI and find paths toward building generative AI that can be responsive to the diverse needs of individuals, groups, and societies around the world. Together, seminar participants will build shared language and frameworks for reshaping the technical and social architectures of generative AI.

Traitement automatique des langues, Linguistique informatique,    Réseaux sociaux et aspects sociaux des technologies de l'information

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar Task and Situation-Aware Evaluation of Speech and Speech Synthesis is an opportunity to help redefine the metrics and methods traditionally used to evaluate speech synthesis and human speech as they are used across disciplines, tasks, and applications. The seminar is designed as a collaborative platform where experts from engineering, the humanities, social sciences, and more come together to challenge the status quo and drive innovation. Through the combination of perspectives and the bridging of gaps between scientific disciplines we hope to uncover and develop evaluation techniques that are not only scientifically rigorous but also contextually relevant to the diverse uses of speech technology today. We seek the collective expertise of participants from diverse areas of science and technology – ranging from phonetics to machine learning, from rhetorical analysis to practical applications in assistive technologies. This interdisciplinary approach is essential for crafting evaluation standards that are as dynamic and nuanced as the technologies and applications they aim to assess. To this end, we encourage you to share, debate, and refine ideas, methods, and tools that can contribute to a transformative discussion on the evaluation of speech synthesis.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Artificial Intelligence, Computers and Society, Databases, Trust, Transparency, Accountability, Knowledge Graphs, Web Data

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Artificial intelligence has made tremendous strides across many spheres of life, however deploying this technology in safety critical domains remains challenging. This seminar focuses on clinical practice where data-driven models can streamline the work of healthcare professionals and democratise access to personalised medicine, thus have lasting positive impact on society, but also where deploying such tools without adequate foresight and safeguards can be perilous. This duality – anticipated benefits that may come along with unintended consequences – requires new technologies to be thoroughly vetted, e.g., with clinical trials and medical certification processes, before they can be deployed to avoid any harmful fallout. However, fulfilling such regulatory requirements is a lengthy and complex process plagued with many challenges, hence while prototype systems are becoming increasingly ubiquitous, they often remain indefinitely designated as research tools that can be used exclusively for research purposes. Their lacklustre adoption is compounded by pervasive reproducibility issues; history of unsafe systems being deployed prematurely; scarce data that are inherently private, difficult to collect or share, and often riddled with numerous biases; and prevalence of automation promises that never come to fruition. Such hurdles result in healthcare remaining one of the least digitised spheres of life.

IEEE AIxVR stands out as a distinctive event that brings together researchers and professionals across the spectrum of Artificial Intelligence, Augmented Reality, Mixed Reality, and Virtual Reality. This event serves as a global platform fostering collaboration between these diverse fields, facilitating the presentation of cutting-edge advancements, identifying emerging research avenues, and collectively shaping the future of these dynamic research domains. We extend a warm invitation to researchers specializing in Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) to actively participate and contribute by submitting their work to the program. Moreover, we welcome submissions related to Artificial Intelligence (AI) that have a direct correlation to any of these immersive technologies or demonstrate potential applications within them.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Interface homme-machine, expérience utilisateur, la réalité virtuelle

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Logic and learning are central to Computer Science, and in particular to AI-related research. Already Alan Turing envisioned in his 1950 “Computing Machinery and Intelligence” paper a combination of statistical (ab initio) machine learning and an “unemotional” symbolic language such as logic. The combination of logic and learning has received new impetus from the spectacular success of deep learning systems. The goal of this Dagstuhl Seminar is to bring together researchers from various communities related to utilizing logical constraints in deep learning and to create bridges between them via the exchange of ideas.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Théorie de l'information, fondations de l'informatique

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The first goal of this Dagstuhl Seminar is to survey existing uses of any kind of XR technologies in the OR. More importantly, we will seek to foster and create ideas for novel research on using XR in the OR. This should lead to novel use cases of the technology, novel research questions, and an agenda for research on XR in the OR for the next 5 years. As one of the tangible outcomes, we plan to develop a position paper outlining this agenda during the seminar, and submit it to a major journal. These goals will be achieved by bringing together researchers from all sub-fields of XR (VR, AR, sound and haptic rendering, new materials, and other kinds of mixed reality), along with practitioners (surgeons) from different medical areas, in order to bring the practical perspective of surgery to the seminar.

Génie biomédical,    Interface homme-machine, expérience utilisateur, la réalité virtuelle

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

There are many connections between market design with and without money, and this Dagstuhl Seminar aims to provide a platform for scholars in auctions, matching, and learning in games to work together and develop new ideas on how to deal with the complexities in designing and analyzing real-world markets.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

In our daily lives, we as humans perceive our surroundings in an inherently multimodal way. Nevertheless, the vast majority of data analysis idioms are exclusively visual, not using the apparent potential of combined designs. While the visualization field studies visual data analysis solutions, the sonification field investigates comparable solutions that convey data over non-speech audio. There are several similarities between the methods and design theories of both approaches, such as the use of perceptual variables to encode data attributes, the use of marks and substrates for conveying items, and the role of interaction in manipulating the data representations. Over the recent decades, both fields have established research communities, theoretical frameworks, and toolkit support.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Multimédia et infographie, Jeu vidéo

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

Reactive systems are software systems that engage in a continual dialogue with their environment. They constitute the software parts of cyber-physical systems where timely reactions are often critical to safety. Applications include autonomous vehicles, electric power systems, industrial automation, healthcare electronics, and robotics. Because the software engages in a continual dialog with its environment, it often has conflicting requirements. It needs to be predictable, but robust to unpredictable events; it needs to react in a timely manner, but this often requires reacting with inconsistent information; it needs to be adaptable, but demonstrably safe; and it needs to be secure, but accessible and available. Many conferences and workshops focus on one of the goals, such as achieving real-time behavior, without explicitly acknowledging the costs and without providing sound strategies for dealing with failures that prevent reaching the goals. The focus of this seminar will be on the tradeoffs that are intrinsic in the design of such systems. When you make a system predictable, available, secure, or even demonstrably safe, what have you lost? This Dagstuhl Seminar will pull in experts from manifold disciplines to identify and discuss the fundamental limits in reactive systems design that make tradeoffs inevitable.

Soft computing, algorithmes évolutionnaires, domaine des métaheuristiques, logique floue,    L'Internet des objets (IoT) et réseau de capteurs

Institute for Mathematical and Statistical Innovation (IMSI)

This long program will focus on the newest development of UQ methodologies and how they can improve AI systems and provide solutions to modeling complex systems. It will also give an outlook on future UQ directions and challenges. Through all the activities proposed, the program will bring together interested parties, researchers, practitioners, and students, from different areas of UQ, promote communication, and further break down the barriers between disciplines. The program also has a significant mentoring component, which connects researchers and students at different career stages.

Statistique, Théorie des jeux,    Systèmes, contrôle et automatisation

cognitivetechsummit

Join us for the International Summit on Artificial Intelligence, set to take place on March 24-25, 2025, in the vibrant city of Osaka, Japan. The conference will revolve around the theme “Shaping the Future: Innovations and Applications in AI.” This premier event will gather leading experts, researchers, and practitioners from around the globe to explore the latest advancements and applications in AI. Attendees will have the opportunity to hear from world-renowned speakers who will share their insights on emerging trends, challenges, and future directions in the field. The conference will feature cutting-edge research presentations, interactive workshops, and practical tutorials designed to provide participants with hands-on experience in AI.

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

AI & Big Data AI & Robotics Data science Deep learning AI & Big Data AI & Robotics Data science Deep learning

cognitivetechsummit.com

Join us for the International Summit on Generative AI, set to take place on March 24-25, 2025, in the vibrant city of Osaka, Japan. The conference will revolve around the theme “Transforming the Future with Generative AI Innovations.” This premier event will gather leading experts, researchers, and practitioners from around the globe to explore the latest advancements and applications in generative AI. Attendees will be able to hear from world-renowned speakers who will share their insights on emerging trends, challenges, and future directions in the field. The conference will feature cutting-edge research presentations, interactive workshops, and practical tutorials to give participants hands-on experience in generative AI techniques and applications.

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

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

cognitivetechsummit.com

We invite you to join us at the International Summit on AI in Industry 4.0, scheduled for March 24-25, 2025, in Osaka, Japan. The conference will focus on the theme “Driving the Future of Industry with AI Innovations,” bringing together experts, researchers, and practitioners to explore the latest advancements and applications of AI in Industry 4.0. Attendees will have the chance to hear from renowned speakers, participate in workshops, and engage in panel discussions to address key issues and foster dynamic exchanges of ideas.

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

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH

The objective of this workshop is to bring together researchers, practitioners, and experts in the field of explainable AI to collaboratively develop reusable experiment designs. Evaluating explainability methods is something that has not been standardized by the community, meaning each author must develop and justify their own approaches. This reduces the abilities of researchers to publish their findings, which can also hinder progress in this space.

QCon by InfoQ

Find practical inspiration (not product pitches) from senior software leaders deep in the trenches, creating software, scaling architectures, and fine-tuning their technical leadership to help you make the right decisions.

QCon team;     Email.: info@qconlondon.com

Development, Architecture, Engineering, Product Management, Software architecture, Software development, Software engineering, API, Machine learning, Mlops, Microservices, Java, Green Tech, Rust, WASM, eBPF, Scalable Configuration Management, Infrastructure Unification, Cue Lang, MLOps, Team Topologies, Staff+ Engineer Path, Service Meshes, Microfrontends, Multicloud Practices, Software Ethics, Fast Flow, java, DevSecOps, DevOps, Kubernetes, data.GraphQL, Macroservices, hybrid, remote, teams

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,    Réseaux de neurones et intelligence artificielle, apprentissage automatique

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

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Reconnaissance de formes et traitement d'image, vision par ordinateur

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.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Traitement automatique des langues, Linguistique informatique

Optica

Join us for the OPTICA Online Industry Meeting on Co-packaged and Linear Drive Optics, where experts will explore advancements in photonic-enabled AI applications. This event will highlight innovations in integrating optics with AI hardware, enhancing processing speeds and efficiency in data-intensive tasks. Discussions will address current challenges such as optimizing power consumption, achieving high-speed data transfer, and ensuring compatibility with existing AI architectures.

Opto-électronique et technique d'affichage,    Matériel informatique

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?

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Traitement automatique des langues, Linguistique informatique

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

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Ingénierie et l'industrie (en général)

Optica

Join us for the OPTICA Online Industry Meeting on Photonic-enabled AI, where experts will delve into the intersection of photonics and artificial intelligence (AI). This event will explore how photonics technologies are revolutionizing AI applications by enhancing processing speed, energy efficiency, and scalability. Discussions will address current challenges such as integrating photonics with AI hardware, optimizing photonic components for AI algorithms, and overcoming limitations in data throughput and processing latency. The meeting will also highlight opportunities for leveraging photonic-enabled AI, including advancements in neuromorphic computing, optical processing units (OPUs), and photonic co-processors. These technologies promise to unlock new capabilities in machine learning, pattern recognition, and complex data analysis. Engage with industry leaders to explore innovative solutions and collaborations that drive the future of AI-powered by photonics, paving the way for next-generation computing and intelligent systems.

Opto-électronique et technique d'affichage,    Matériel informatique

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

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

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH