BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//DMaaST Project - ECPv6.18.3.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://dmaast.eu
X-WR-CALDESC:Events for DMaaST Project
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260923
DTEND;VALUE=DATE:20260925
DTSTAMP:20260903T094525Z
CREATED:20260903T094525Z
LAST-MODIFIED:20260903T094525Z
UID:2456-1790121600-1790294399@dmaast.eu
SUMMARY:4th European Symposium on Artificial Intelligence in Manufacturing
DESCRIPTION:Themes and topics\n\n\n– AI for process monitoring\, optimization\, and control \n– AI for condition monitoring\, diagnosis\, and predictive maintenance \n– AI for quality assessment and prediction \n– AI for production planning\, scheduling\, and control of manufacturing systems and value chains \n– AI for flexible and precise robotics \n– AI for enhanced human-robot collaboration \n– AI for the design of manufacturing systems\, equipment\, processes\, and products \n– Digital platforms\, data spaces\, and information technologies for AI applications in manufacturing systems \n– Digital Twin to optimize process\, equipment\, and plant operations \n– Data augmentation and synthetic data for developing AI applications \n– Education and training for developing skills for AI in manufacturing \n– Ethical and legal aspects of AI in manufacturing \n– AI for Re/de manufacturing solutions \n– Hybridation with physical and AI models \n– Explainable AI \n– Application of AI through the Manufacturing Value chains \n– AI in manufacturing Defence \n– AI act in manufacturing practice \n– European Technology infrastructures for AI deployment
URL:https://dmaast.eu/event/4th-european-symposium-on-artificial-intelligence-in-manufacturing/
ATTACH;FMTTYPE=image/png:https://dmaast.eu/wp-content/uploads/2026/09/Website-News.png
END:VEVENT
END:VCALENDAR