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This discussion booth explores the emerging intersection of machine learning and smell technology, also known as digital olfaction. The space is designed for researchers, students, builders, and curious attendees interested in how AI can be used to detect, classify, generate, and interpret scent-related data. Topics may include electronic noses, olfactory sensing, multimodal AI, applications in healthcare, food quality, environmental monitoring, fragrance, and human-computer interaction. The goal is to create an open and interdisciplinary conversation around both the technical challenges and the creative opportunities in this fast-growing field. Whether you work directly on ML models for chemical signal analysis or are simply interested in the future of smell interfaces and sensory intelligence, this booth offers a place to exchange ideas, share projects, discuss collaborations, and connect with others working at the frontier of AI and olfaction.
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