Conferences  >  Informatics  >  Implementation and Applications of Artificial Intelligence

FOMLIG Council

The Third Workshop on the Future of Machine Learning in Geotechnics will focus on how current and forthcoming synergies between human and artificial intelligences will foster geotechnical research, practice, and education, and how human conscience and ethics can best nurture this partnership through new paradigms, cultural perceptions, and regulations.

Ethics and intelligences for a geotechnical Renaissance

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).

Phone: [+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

Neural Networks and Artificial Intelligence, Machine Learning,    Training in Computer Science, Courses

entwickler.de Akademie

Das neue GenAI Bootcamp bei den JavaScript & Angular Days vom 23. - 24. Oktober 2025 in Berlin ist deine praxisnahe Einführung in die Welt der Generativen KI - speziell für Angular-Entwickler:innen. In dieser kompakten Schulung mit Marco Frodl lernst du, wie du moderne GenAI-Technologien im Enterprise-Umfeld verstehst, anwendest und nahtlos in deine Angular-Projekte integrierst.

Was dich erwartet:

- Grundlagen von Generative AI, Prompt Engineering, RAG & Agenten

- Entwicklung von PoCs mit Python, LangChain & LangGraph

- Robuste AI-Schnittstellen für den Zugriff aus dem Frontend

- Integration von AI-Backends in Angular-Anwendungen

- Streaming von Antworten & visuelles Reasoning in der UI

Email: info@entwickler-akademie.de

Generative AI, Angular, Prompt Engineering, RAG, LangChain, LangGraph, TypeScript, AI-Integration, AI-UX, Streaming APIs, Obsidian, Frontend-Entwicklung, Enterprise AI, KI im Frontend, Developer-Portal, AI-Prototyping, Reasoning-UI, MCP-Server, Wissensmanagement, LLM-Anbindung, KI-gestützte Anwendungen

Neural Networks and Artificial Intelligence, Machine Learning,    Training in Computer Science, Courses

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Currently, a paradigm shift is taking place from human interpretation of results towards machine interpretation. The long-term vision here is to automate the benchmarking process further to enable machines to automatically learn the properties of algorithms. This requires a more rigid benchmarking process with all assumptions and design decisions made explicit and accessible for machine interpretation.

Neural Networks and Artificial Intelligence, Machine Learning,    Scientific Computing and Data Science

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

Neural Networks and Artificial Intelligence, Machine Learning,    Scientific Computing and Data Science

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This seminar brings together researchers from diverse backgrounds in order to study these questions. Which applications are most likely for an adversary to gain from exploiting machine learning models? Are there particular attacks that will be more prevalent than others? What defense strategies are possible—and practical? What is the cost of these defenses to utility?

Neural Networks and Artificial Intelligence, Machine Learning,    Information Security and Information Privacy

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;     Phone: [+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

Zep Research Pvt. Ltd.

At the International Conference on AI and Robotics Innovation, we bring together the world's leading experts, researchers, and innovators in artificial intelligence and robotics. Our mission is to showcase cutting-edge advancements that integrate the latest developments in artificial intelligence, machine learning, and robotic engineering. The conference aims to explore how these technologies can help redefine the future of industries such as healthcare, education, manufacturing, and entertainment.

Phone: [09237388328];     Email: mmpatra@zepresearch.com

Artificial Intelligence Robotics Innovation

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

In this meeting of the Research Training Group "Neuroexplicit Models of Language, Vision, and Action", we will discuss current research and trends in combining neural and human-interpretable models. These model architectures have complementary strengths with respect to generalization, robustness, and interpretability. The overall goal of the RTG is to develop novel neuroexplicit models that accurately solve tasks in natural language processing, computer vision, and action-decision making, and to investigate the theoretical and practical principles of designing effective neuroexplicit models.

International Software Architecture Qualification Board (iSAQB®)

The next Software Architecture Gathering, presented by the International Software Architecture Qualification Board (iSAQB®) in cooperation with heise medien, will take place in Berlin from November 24 to 27, 2025. Participants can expect around 45 sessions and keynotes as well as 8 full-day workshops with well-known international speakers from the software architecture scene.

Phone: [+49 (0)331-951367-10];     Email: fdeutsch@isaqb.org

software architecture, software development, AI

AISS 2025

The 1st International Conference on Artificial Intelligence for Sustainable Society (AISS2025) provides a common platform for exchanging ideas and future collaboration among AI technologies such as generative AI, which are applicable to Sustainable Development (SD) for Energy and Environment.

Email: Dunn@iact.net

AI Computing and Control for SS: Evolutionary Computation; Machine Learning; Knowledge-based Intelligent Systems; Hybrid Learning System; Remote Sensing; Network Computing; Neural Computing; Optimization Algorithms; Soft Computing; Mechatronic Systems and Optimization Algorithms; Cloud Computing and Big Data; Quantum Computing; Ubiquitous Computing; Signal and Image Processing; Genetic Algorithms; Decision Support Systems; Deep Learning; Autonomous Systems; Network Intelligence and Control; Hybrid Intelligent Systems; Neural Networks; Fuzzy Control.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Inductive programming (IP) research – also called inductive program synthesis – is concerned with learning computer programs from data, typically input/output examples. It incorporates many areas of computer science, especially machine learning, automated reasoning, program verification, programming language theory, and software engineering. IP also has strong relations to research outside computer science, notably in cognitive science, where it can help build models of human inductive learning and intelligent tutoring systems for programming education. In industry, IP supports tools for end-user programming such as the Microsoft Excel plug-in FlashFill.

Software Engineering,    Neural Networks and Artificial Intelligence, Machine Learning

C4Media

QCon AI (Dec 16-17, 2025): The AI software conference for senior practitioners using AI to accelerate the SDLC. Learn practical patterns from peers to build faster, avoid missteps, manage MLOps, and scale reliably. No hype, just real-world takeaways.

Marketing Team at C4Media;     Email: marketing@c4media.com

AI, Artificial Intelligence, 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, teams

The theme of the conference is Optimizing the Demand of Artificial Intelligence with the Help of Recent Technologies covering a wide extent to serve the speakers to showcase their highly insightful research work, knowledge from the field of Cognitive Engineering and Intelligent Interaction to the audience and participants.

Phone: [+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

Peking University

The Tenth International Conference on Data Mining and Big Data (DMBD'2025) serves as a global platform for researchers and practitioners to exchange the latest advancements in theories, algorithms, models, and applications of data mining, big data, and artificial intelligence techniques. Data mining involves exploring large datasets to extract meaningful information, while big data encompasses vast amounts of data and information that warrant in-depth research.

Database Technology and Design, Search Engines and Data Mining,    Natural Language Processing, Computational Linguistics

15th International Conference on Artificial Intelligence, Soft Computing and Applications (AIAA 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. 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.

Phone: [9677141480];     Email: aiaaconference@yahoo.com

• AI Algorithms • Artificial Intelligence • Artificial Intelligence Tools & Applications • Automatic Control • Bioinformatics • Biomedical Engineering

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar addresses research gaps in the continual assessment of AI systems amid post-deployment changes in requirements, user-specific objectives, deployment environments, and the AI systems themselves.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Recent years have seen the emergence of a number of research groups that aim to advance quantum computing and to develop a skilled quantum software workforce. A particular challenge that must be overcome for safe quantum computing at scale is the creation of robust, expressive, efficient, and tractable formal verification tools. Since there is currently no event dedicated to this pursuit, the first goal of this Dagstuhl Seminar is to bring together a dedicated community of researchers in a single venue. This will give participants an opportunity to identify and discuss the most pressing challenges and promising directions for quantum programming and verification.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The study of clustering problems dates back several decades, and has led to the adaptation of versatile and powerful algorithm design techniques. In recent years, there has been a surge of activities in the study of clustering problems from different computational vantage points, leading to various new techniques for the development of approximation algorithms. These include new algorithm prototypes that are applicable to sublinear models, and geometric tools to deal with the challenges of high dimensionality. Each of these strands of research focuses on some challenge faced in modern applications involving massive and rapidly evolving data sets, and attempts to design clustering algorithms that overcome this challenge. This had led to a series of recent results on dynamic, online, streaming and massively parallel clustering, as well as on designing clustering algorithms whose outputs are fair, robust, and differentially private. The seminar aims to bring together researchers working on clustering problems from these divergent perspectives.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Neural Networks and Artificial Intelligence, Machine Learning,    Human-Computer Interaction, User Experience, Virtual Reality

SEIT Lab, Department of Computer Science, University of Cyprus

Phone: [+35722892693];     Email: george@ucy.ac.cy

Human-centered AI methods, approaches, and systems • Explainable AI methods • Democratization of AI • Persuasive technologies in IUI • Privacy and security of IUI • Knowledge-based approaches to user interface design and generation • User modelling for intelligent interfaces • User-adaptive interaction and personalization • IUI for crowd computing and human computation • Human control in daily automations • Trust and reliance in intelligent systems Computational innovation • Interactive machine learning • Human-in-the loop AI testing and debugging • Human-centered recommendation and recommender systems • Generative models • Human-in-the-loop reinforcement learning • Intelligent user interfaces for generative AI Innovative User Interfaces • Affective interfaces • Intelligent aesthetic interfaces • Intelligent collaborative interfaces • Intelligent AR/VR interfaces • Intelligent visualization and visual analytics • Intelligent wearable and mobile interfaces • Intelligent tangible interfaces Intelligent Multimodal Systems • Embodied agents • Multimodal AI assistants • Intelligent multimodal interfaces Intelligent Applications • Education and learning-related technologies • Healthcare and wellbeing • Automotive • Assistive technologies • Entertainment • Workplace happiness • Social media • Internet of Things (IoT) • Smart homes Large Language Models and Agentic AI • End-user interaction with LLMs, agents, and multimodal models (e.g., chatbots, image generation) • LLMs and agents in the workplace • Human-agent interaction and multi-agent systems • Bias in LLMs and agents • The effects of LLMs and agents use on creative tasks • Personalized user interaction with LLMs and agents • Prompt engineering • User control and steering of LLMs and agents (e.g., RLHF, chaining, instruction tuning) Evaluations of Intelligent User Interfaces • User experiments and studies • Reproducibility (including benchmarks, datasets, and challenges) • Meta-analysis • Mixed-methods evaluations

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

AI is transforming computer security in ways that have significant potential to disrupt the effectiveness of current defensive standards. The vulnerabilities of the AI systems themselves, along with their potential use as offensive tools, introduce a new dimension to the threat modeling of computer systems. As AI models increasingly power autonomous agents, this attack surface continues to expand, giving rise to novel threats that impact both society and industry. At the same time, AI models and autonomous agents could also serve as transformative tools for developing advanced defensive techniques. The rapid pace of AI development creates significant uncertainty about what will be required to defend against AI-based attacks and how to devise autonomous cyber defenses. By reducing reliance on manual intervention and integrating with existing defense mechanisms, AI defensive systems may offer new ways to counter attacks and mitigate threats. This Dagstuhl Perspectives Workshop aims to develop a systematic understanding of how AI agents can be used in both offensive and defensive security.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Human-Computer Interaction (HCI) is undergoing a profound epistemological shift. For decades, the field has developed a rich repertoire of research methods informed by its interdisciplinary origins. These methods have enabled HCI researchers to explore phenomena across a wide range of domains—from desktop work environments to everyday life—with approaches that span controlled experiments, ethnographic fieldwork, and design interventions. However, the increasing integration of artificial intelligence (AI), and particularly generative AI (genAI), into both interactive systems and research workflows is disrupting the foundational assumptions behind these methods. This Dagstuhl Seminar invites participants to examine how HCI research methods must adapt in light of these developments—and what new opportunities and risks this transformation entails.

SEIT Lab, Department of Computer Science, University of Cyprus

Phone: [+35722892693];     Email: george@ucy.ac.cy

Autonomous Agents, Multiagent Systems

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

Recently a variety of state-of-the-art methods in machine learning and artificial intelligence have been developed motivated by techniques from Stein’s method, a successful tool from the field of probability theory. These methods have enabled efficient analysis of the large amounts of data being produced in several scientific fields, like neuroscience, information technology, and finance. Motivated by this success, there has been an ever increasing interest in exploring further connections between Stein’s method and machine learning. The focus of this workshop is to consolidate isolated efforts and develop a theoretically principled inferential and computational framework via Stein's method for analyzing increasingly complex models and data objects. This workshop is intended to bring together prominent and promising young and diverse researchers working on Stein’s method and machine learning, and to charter the path for future development in the field.

The Minerals, Metals & Materials Society (TMS)

The 4th World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2026) is the fourth event of its kind to focus on the role of artificial intelligence (AI) in materials science and engineering and related manufacturing processes. AIM 2026 will convene stakeholders from academia, industry, and government to address key issues and future pathways.

Metallurgy and Materials Science,    Condensed Matter Physics and Materials

The Learning Ideas Conference

Co-hosted by The Learning Ideas Conference (TLIC) and the Laboratory of New Technologies and Distance Learning, University of Ioannina, the Summer Course: “AI, Teaching, and Learning” in Ioannina, Greece brings together researchers, educators, and practitioners to explore how AI is reshaping education. Featuring Dr. David Guralnick (Kaleidoscope Learning & Columbia University) and expert faculty, the course offers hands-on activities, discussions, on-site tours, and practical insights into AI’s potential to improve learning outcomes and teaching practices. Our interdisciplinary faculty covers education, AI, cognitive science, UX design, VR/AR/XR, museum studies, and more!

The Learning Ideas Conference Team;     Phone: [+1 646-481-3510];     Email: info@learningideasconf.org

summer course, summer course in Europe, Europe summer course, summer course in Greece, teaching and learning, artificial intelligence, learning innovation, workplace learning, higher education, online learning, elearning, edtech, educational technology, instructional design, digital learning, learning experience design, AI in education, learning sciences, immersive learning, VR/AR/XR in education, gamification, museum studies, museum education cultural heritage

Education,    e-Learning, Computers in Education

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

music information retrieval; audio signal processing; deep learning; open source; user interaction and interfaces

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Energy; Critical Infrastructure; Explainable AI; Machine Learning

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

Representation learning is at the heart of a paradigm shift in machine learning, driving many of today’s most advanced artificial intelligence (AI) systems. Representation learning transforms raw data into meaningful features that machines can use to perform a wide range of tasks, such as image recognition, content recommendation, and text generation. However, a key challenge remains: ensuring that these representations are identifiable, a property that is fundamental to reliably deploying AI systems in real-world applications. Although identifiability is critical to developing trustworthy AI systems, the current mathematical understanding of representation learning in general, and identifiability in particular, is extremely limited. To address this gap in understanding, Banff International Research Station will host a workshop focusing on principled approaches for learning identifiable representations and understanding the properties of such representations.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH