Original title: NextGen Synergy: Control Theory & Machine Learning: Book of Abstracts
Authors: Guy, Tatiana Valentine ; Gaj, Aleksej ; Kárný, Miroslav
Document type: Proceedings
Conference/Event: NextGen Synergy: Control Theory & Machine Learning, Praha (CZ), 20260427
Year: 2026
Language: eng
Abstract: The book contains abstracts of contributions presented at InterCoML Conference NextGen Synergy: Control Theory & Machine Learning The abstracts from multiple fields (mathematical analysis, numerical mathematics, control engineering, computer science, data science, etc) exploit the deep interconnections between Control Theory and Machine Learning and foster interdisciplinary and cross-sector collaboration within a diverse group of experts from academia and industry.
Keywords: Computer science; Control engineering; Control Theory; Data science; Hybrid and data-driven models; Machine Learning; Mathematical analysis; Numerical mathematics
Project no.: CA24136

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: https://library.utia.cas.cz/separaty/2026/AS/guy-0650856.pdf
Original record: https://hdl.handle.net/11104/0379757

Permalink: http://www.nusl.cz/ntk/nusl-778730


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Proceedings
 Record created 2026-07-18, last modified 2026-07-24


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