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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;     Tel.: [+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

Ausbildung,    Computergestütztes Lernen

University of York Europe Campus

The 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS'2026) invites researchers, practitioners, and innovators to explore the intersection of AI, web technologies, semantic systems, and intelligent data mining. As the web evolves into a dynamic, intelligent ecosystem powered by machine intelligence, knowledge graphs, and agentic systems, WIMS'2026 provides a platform to discuss cutting-edge research, applications, and societal impacts. WIMS'2026 will be co-located with the 12th Balkan Conference in Informatics (BCI), and the 18th International Symposium on Intelligent Distributed Computing (IDC). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.

WIMS Secretariat;     Email: contact.for.more.info@proton.me

Track 1: Web Intelligence & Agentic AI, Track 2: Machine Intelligence & Learning Systems, Track 3: Semantics & Knowledge Technologies, Track 4: Human-Centered Web Intelligence, Track 5: Web Infrastructure & Systems, Track 6: Applications & Societal Impact.

Informations & Wissensmanagement, Big Data Computing,    Datenbanktechlologie, Suchmaschinen und Data-Mining

University of York Europe Campus

The 18th International Symposium on Intelligent Distributed Computing (IDC'2026) provides an open forum for enhancing the collaboration between researchers, lecturers, and students from Intelligent Computing and Distributed Computing communities. Intelligent Computing covers a hybrid palette of methods, techniques and their applications ranging from classical artificial intelligence, information and data sciences, multi-agent technologies or computational intelligence to more recent trends such as swarm intelligence, bio-inspired computation, cloud computing, machine learning or social/ cyber-physical trust and security. Distributed Computing develops methods and technology to build complex computational systems composed of collaborating software components scattered across diverse computational elements. IDC'2026 welcomes research works centered on all aspects of intelligent distributed computing, with an intention to balance between theoretical research ideas and their application to great variety of industrial cases. IDC'2026 will be co-located with the 12th Balkan Conference in Informatics (BCI), and the 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.

IDC Secretariat;     Email: contact.for.more.info@proton.me

Cloud Computing, Distributed Swarm Robotics Systems, Ephemeral and Unreliable computing, Intelligent Distributed Applications, Intelligent Distributed and High-Performance Architectures, Intelligent Distributed Knowledge Representation and Processing, Intelligent Transportation Systems, Internet of Things, Nature-inspired Methods for Supervised and Unsupervised Data Mining, Networked Intelligence, Organization and Management, Parallel Metaheuristics for Optimization.

Edge/Cloud-Computing,    Informations & Wissensmanagement, Big Data Computing