Konferenzen  >  Mathematik  >  Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

Algorithmen und Datenstrukturen,    Implementierung und Anwendungen von künstlicher Intelligenz

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

Wissenschaftliches Rechnen und Datenwissenschaft,    Informations & Wissensmanagement, Big Data Computing

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Kurse und Veranstaltungen für Studenten der Mathematik,    Astronomie, Astrophysik und Kosmologie

Institute for Pure and Applied Mathematics (IPAM), UCLA

This workshop will bring together leading experts in the mathematical modeling of collective intelligence. While the workshop will explore collective intelligence in many different systems, substrates (both natural and artificial), and scales, it will focus on three broadly applicable modeling frameworks: dynamical systems, which have been applied to systems as various as brains and insect swarms; statistical physics, which has illuminated the behavior of flocking birds and deep learning architectures; and game theory, which has been applied to animal, human, and AI collectives. The collective intelligence domain cultivates the further development of formal tools for treating compositionality; the emergence of new capacities and collective degrees of freedom at multiple scales; and the higher-level institutions that coordinate the intelligent behavior of lower-level parts.

Part of the Long Program Mathematics of Intelligences

ETPUB

2024 11th International Conference on Soft Computing & Machine Intelligence will be held in Melbourne, Australia during November 22-23, 2024.

Email: helen@academic.net

Artificial Intelligence and Machine Learning; Data Mining and Knowledge Discovery; Probabilistic Reasoning and Uncertainty; Intelligent Control and Robotics; Computer Vision and Information Retrieval;

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.

Implementierung und Anwendungen von künstlicher Intelligenz,    Quanteninformationstheorie und Quanteninformatik

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.

Genomforschung und Bioinformatik,    Implementierung und Anwendungen von künstlicher Intelligenz

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).

South American Institute for Fundamental Research (ICTP-SAIFR)

Kurse und Veranstaltungen für Physikstudenten,    Wissenschaftliches Rechnen und Datenwissenschaft

Scientific-Technical Union of Mechanical Engineering

The study of the processes in different real systems is limited to their modelling, i.e. their approximate description by creating models of these systems and processes. Systems and processes models are divided into two classes - physical and mathematical. In recent decades, it has become clear that the notion of mathematical modelling refers equally to systems of another nature - social, economic, and others. In other words, the behavior of different systems can be effectively explored using their mathematical models. It is only necessary to properly choose the appropriate mathematical apparatus. On the other hand, the range of mathematical models is extremely wide - from algebra and logic to functional analysis. This means that the regular direct contacts between engineer researchers and specialists from different fields of mathematics are very important for the advancement of science and technology. For professional mathematicians, these contacts will enable them to better target the needs of representatives of other areas of knowledge. And the more contacts there are the better. One of the most interesting problems of modern science is the development of methods and models for research and optimization of different systems. Thus knowledge is presented in a form that can be used. More and more mathematics is becoming the language of innovation and intelligent technologies and the modern industrial society.

Scientific-Technical Union of Mechanical Engineering;     Tel.: [(+359 2) 987 72 90];     Email: office@mathmodel.eu

Basic principles of mathematical modelling, Analogy principle, Model hierarchy, Methodology of mathematical modelling, System analysis, Mathematical modelling in fundamental and applied physics, mechanics, chemistry and biology, Technological processes as objects of automation, Mathematical methods of management, Modelling of smart production technologies and systems, Virtual technologies and simulations, Information and computer technologies, Robotics, Artificial intellect, Radio electronics, Statistical and stochastic models, Neural networks, Situation modelling,

Simulation,    Mathematische Logik, Grundlagen der Mathematik

European Federation of Chemical Engineering (EFCE)

Artificial Intelligence and Machine Learning have had in the recent past a tremendous impact on chemical engineering. On the long run they can radically change the way in which we perform research on chemical processes, we design, scale-up and optimize chemical reactors and pieces of equipment and they can potentially introduce new paradigms on chemical process control and operation.

AIGC 2024 will be a focal point for the latest advancements in Al-generated content. We believe this conference will provide a platform for participants to share cutting-edge information, ideas, and experiences in in Al-genelrated content and related fields. Your valuable contributions through papers and presentations,coupled with active participation, will undoubtedly enhance the overall success of the event.

Conference Secretariat;     Tel.: [+86-15618780723];     Email: contact@icaigc.org

T1: Foundations of AI Artificial General Intelligence Machine Learning Deep Learning Transformer Neural Networks T2: AI in Creative Expression Generative AI AI-generated Audio AI-generated Art AI-generated Image T3: Advanced AI Applications Natural Language Processing (NLP) Computer Vision Diffusion Models for Machine Learning AI in Robotics

MLSC

6th International Conference on Machine Learning and Soft Computing (MLSC 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications Machine learning and Soft Computing. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Tel.: [8932587139];     Email: mlsc@acsty2025.org

CZESND

The 9th International Conference on Machine Learning and Soft Computing (ICMLSC 2025) will be held on January 24-26, 2025. The conference is organized by Chuo University, Japan, co-organized by Keiai University, Japan, and supported by University of Muenster, Germany and Concordia University, Canada.

Email: Nazal@sina.com

Machine learning; Intelligent planning; Visual/linguistic perception; Evolutionary and swarm algorithms; Neural computing; Emotional intelligence; Applications;

Softwareentwicklung,    Edge/Cloud-Computing

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

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

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

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.

Implementierung und Anwendungen von künstlicher Intelligenz,    Benutzerschnittstellen, User Experience, Virtuelle Realität

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.

Implementierung und Anwendungen von künstlicher Intelligenz,    Informationstheorie und Grundlagen der Informatik

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.

Implementierung und Anwendungen von künstlicher Intelligenz,    Mulitimedia und Computergrafik, Spiele

International Academy of Computing Technology

2025 9th International Conference on Digital Signal Processing (ICDSP 2025) will be held in Chengdu, China during February 21-23, 2025. It is Co-sponsored by Southwest Jiaotong University and Xihua University, China, and technically supported by many universities and institutions.

Email: Dunn@iact.net

MACHINE LEARNING AND STATISTICAL SIGNAL PROCESSING; DIGITAL AND MULTIRATE SIGNAL PROCESSING; DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS; SPEECH AND LANGUAGE PROCESSING; AUDIO AND ACOUSTIC SIGNAL PROCESSING;

Max Planck Institute for the Physics of Complex Systems (MPI-PKS)

Komplexe Systeme und Chaos ,    Quantenmaterialien, Tieftemperaturphysik

ACMSC

Email: amychou2020@163.com

Machine learning methods; Learning and adaptive control; Learning/adaption of recognition and perception; Learning for Handwriting Recognition; Learning in Image Pre-Processing and Segmentation; Learning in process automation; User experience research, usability testing and interaction design; Mobile, ubiquitous and pervasive computing; Technology adoption, trust, user engagement and retention;

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

International Association of Computer Science and Information Technology

The 7th International Conference on Computer Science and Technologies in Education (CSTE 2025) will be held in Wuhan, China during April 18-20, 2025. CSTE 2025 is sposored by Central China Normal University, China, hosted by Faculty of Artificial Intelligence in Education, Central China Normal University, China.

Email: aimee@iacsit.net

Educational Technologies and Systems; Computer-supported Collaborative Learning and Social Computing; Artificial Intelligence in Education; STEM Education and Computational Thinking; Educational Data Mining and Learning Analytics; Innovative Technologies for Teaching and Learning;

Informationstheorie und Grundlagen der Informatik,    Computergestütztes Lernen

International Association of Computer Science and Information Technology

It is with great pleasure that we invite you to the 5th International Forum on Signal Processing (IFSP 2025) in Xi'an, China during May 16-18, 2025. It is organized by Xi'an University of Posts & Telecommunications, China; hosted by School of Communications and Information Engineering & School of Artificial Intelligence, Xi'an University of Posts & Telecommunications, China and Shaanxi Key Laboratory of Information Communication Network and Security, China.

Email: aimee@iacsit.net

Image and video processing; Speech and audio processing; Signal processing for communication systems; Signal processing for biomedical applications; Machine learning for signal processing; Signal processing for sensor networks; Signal processing for control and automation;

Mustererkennung und Bildverarbeitung, Maschinelles Sehen,    Mobilcomputing & Telekommunikation

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;     Tel.: [+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

Benutzerschnittstellen, User Experience, Virtuelle Realität ,    Implementierung und Anwendungen von künstlicher Intelligenz

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;     Tel.: [+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

Implementierung und Anwendungen von künstlicher Intelligenz,    Mustererkennung und Bildverarbeitung, Maschinelles Sehen

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;     Tel.: [+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

Wissenschaftliches Rechnen und Datenwissenschaft,    Genomforschung und Bioinformatik

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.

Implementierung und Anwendungen von künstlicher Intelligenz,    Verarbeitung Natürlicher Sprache, Computerlinguistik

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?

Implementierung und Anwendungen von künstlicher Intelligenz,    Verarbeitung Natürlicher Sprache, Computerlinguistik

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;

Algorithmen und Datenstrukturen,    Datenbanktechlologie, Suchmaschinen und Data-Mining

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.

Computergestütztes Lernen,    Didaktik in der Wissenschaft

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

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

Geometrie und Topologie,    Optimierungsrechnung, Entscheidungsunterstützung

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;     Tel.: [+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

Implementierung und Anwendungen von künstlicher Intelligenz,    Ingenieurwesen und Industrie (allgemein)

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;     Tel.: [+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;     Tel.: [+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