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ACDL 2025 : 8th Advanced Course on Data Science & Machine Learning | |||||||||||
Link: https://acdl2025.icas.events/ | |||||||||||
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Call For Papers | |||||||||||
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. Course Description: https://acdl2025.icas.events/course-description/ Topics: Artificial Intelligence Artificial General Intelligence Autonomous Systems Big Data Cognitive Computing Computational Cognitive Science Constraint-Based Approaches to Machine Learning Deep Learning Explainable Artificial Intelligence Human-level AI Foundation Models Generative Adversarial Networks Generative Artificial Intelligence Large Language Models Large Vision Models Natural Language Processing Probabilistic Generative Models Reinforcement Learning Robotics Self-Driving Vehicles Transformers Theory of Deep Learning Call for Talks: https://acdl2025.icas.events/call-for-posters-talks/ ACDL Past Lecturers: https://acdl2025.icas.events/past-lecturers/ Venue: https://acdl2025.icas.events/venue/ Activities: https://acdl2025.icas.events/activities/ ACDL Past Edition: https://acdl2025.icas.events/past-editions/ |
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