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GHOST Day: Applied Machine Learning Conference (AMLC) is an applied machine learning conference held in Poznań, Poland. In 2026, it will take place from May 8 to 9 at the PUT Lecture Center of Poznań University of Technology. Positioned as a space “where science meets engineering,” it is aimed at machine learning enthusiasts, engineers, researchers, and business professionals, with the goal of sharing experience and deepening understanding of the rapidly evolving fields of data analytics and AI.
Based on the main text, this is not a traditional online course, but a two-day in-person conference. Topics include AI in Business, AI in Medicine, Natural Language Processing, Local LLMs, AI in Chemistry, Machine Learning Theory, AI Applications, Reinforcement Learning, and Computer Vision. The program includes keynotes, parallel tracks, panel discussions, poster sessions, Lightning Talks, a Matchmaking Session, and social activities. The conference explicitly states that it does not focus on any single programming language or technology, but instead emphasizes machine learning techniques, methods, and algorithms.
The speaker lineup is one of its main strengths. Speakers include researchers from universities, research institutions, and companies such as Inria, Charles University in Prague, Centre for Credible AI, Helmholtz Center CISPA, University of Edinburgh, Carnegie Mellon University, Meta, ETH Zürich AI Center, and Pompeu Fabra University, along with industry-related talks from Allegro, Roche, Pearson, Mistral AI, and others. The organizer, GHOST, is a student organization originating from Poznań University of Technology and focused on machine learning research and learning.
Ticket information is relatively clear: optional student registration is 0 PLN, but only for selected students who meet specific conditions. Early-bird tickets are 489 PLN for one person, 1100 PLN for a three-person package, and 1600 PLN for a five-person package. Late-bird tickets are 689 PLN and are available while supplies last. Tickets include access to all conference sessions, meals, and coffee. The main text does not specify payment methods, nor does it mention certificates or accreditation.
The strengths are its broad range of topics, strong speaker lineup, combination of academic frontiers and industry implementation, and opportunities for networking and project showcasing. It is also fairly friendly to engineers who want to enter the AI field. The drawbacks are that the offline venue is in Poland, which means higher travel, visa, and time costs for users in China. The page also does not clearly state whether there will be online livestreaming, replays, certificates, or a complete language arrangement for the talks. It is suitable for people with some foundation in AI/ML who want exposure to international research and application cases.
Based on the captured text, it is not possible to determine whether ghostday.pl can be accessed stably from mainland China. There is also no information about registration, payment, or remote participation for Chinese users, so its access status in China is marked as unknown.
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ghostday.pl is an Poland Events provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach ghostday.pl directly.