Artificial Intelligence, Machine Learning & Data Science Conference

Description

Experience Berlin in October 2026 at the Artificial Intelligence, Machine Learning & Data Science Conference. This three-day event (Oct 12–14, 2026) brings together researchers, industry leaders and developers from around the world to explore the latest advances in AI, ML, data analytics, and responsible automation. Guided by the theme “AI, Machine Learning & Data Science: Driving the Next Wave of Digital Transformation,” the conference offers a rigorous program designed for researchers and practitioners who want to translate cutting-edge science into real-world impact. What to expect: - Nearly thirty focused scientific sessions covering core AI topics, including robotics and autonomous systems, climate science applications, MLOps and scalable deployment, trustworthy AI, high-performance computing and energy-efficient AI, and multimodal vision–language–audio understanding. - Keynote lectures, interactive presentations, and dedicated poster sessions featuring leading researchers and industry experts. - A platform for learning, networking and collaboration in Berlin’s thriving tech ecosystem, with opportunities to meet researchers, engineers, product leads, and founders from across industries. - Access to useful resources such as the tentative program, brochure, and speaker guidelines, plus options to submit abstracts and register via the official site. Format and audience: - The event blends talks, panel discussions, poster exhibits and potential hands-on demonstrations, designed for a broad audience including researchers, data scientists, software engineers, product managers and startup founders who build with AI. - Speakers include notable researchers such as Elena Zaitseva (University of Žilina) and M.A. Hannan (Sunway University), among others, with sessions curated to balance foundational topics and practical deployment insights. Registration and logistics: - Conference dates: October 12–14, 2026 - Venue: Berlin, Germany - Registration and abstract submission are available on the conference site, with downloadable brochures and a tentative program to help attendees plan their schedule. Why attend: - Stay ahead of fast-moving AI and ML research and its applications in data analytics, sustainability, and industry-specific use cases. - Engage with peers on deployment challenges, governance considerations in AI, and strategies for scalable, energy-efficient systems. - Take advantage of Berlin’s vibrant tech community and establish connections for futur