{"id":12738,"date":"2026-02-02T16:38:55","date_gmt":"2026-02-02T14:38:55","guid":{"rendered":"https:\/\/aire-edih.eu\/?p=12738"},"modified":"2026-02-03T11:27:53","modified_gmt":"2026-02-03T09:27:53","slug":"aire-club-44-multimodal-ai-combines-multiple-data-types","status":"publish","type":"post","link":"https:\/\/aire-edih.eu\/en\/aire-club-44-multimodal-ai-combines-multiple-data-types\/","title":{"rendered":"AIRE Club #44: Multimodal AI Combines Multiple Data Types"},"content":{"rendered":"
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At the AIRE Club held at sTARTUp Day, Martin Rebane (AI Lead) and Ida Maria Orula (AI Developer) from Sparkup at Tartu Science Park explained how multimodal artificial intelligence works.<\/p>\n

To begin, the speakers outlined the key difference between traditional and multimodal artificial intelligence.<\/p>\n

Traditional artificial intelligence works with one modality, meaning one input type and data processing.<\/p>\n

Traditional AI:<\/strong><\/p>\n

    \n
  • Processes one data type, whether image, text, or audio<\/li>\n
  • Clear focus, such as detection or classification<\/li>\n
  • Attention to detail, excellent for precise, focused analysis<\/li>\n
  • Easier to manage, meaning simpler training and measurement<\/li>\n
  • Fast, good and convenient for real-time use<\/li>\n<\/ul>\n

    Traditional AI is ideal when quick and accurate responses are needed with clear input available.<\/p>\n

    Multimodal Artificial Intelligence<\/strong><\/p>\n

    Multimodal AI analyzes multiple inputs simultaneously, such as image, text, and audio together.<\/p>\n

    The system processes different data types in parallel, then integrates them through a so-called fusion layer. The result is not simply classification or detection, but rather reasoning, decision-making, and comprehensive understanding.<\/p>\n

    Multimodal AI strengths:<\/strong><\/p>\n

      \n
    • Processes image, text, and audio simultaneously<\/li>\n
    • Fusion layer combines knowledge from different modalities<\/li>\n
    • Generates answers, decisions, predictions, and reasoning<\/li>\n
    • Understands situations from multiple perspectives, providing broader context<\/li>\n<\/ul>\n

      Real-World Applications in Production<\/strong><\/p>\n

      The session highlighted that multimodal AI is most beneficial in manufacturing and industrial environments:<\/p>\n

        \n
      • For quality control, visual inspection can be combined with other data<\/li>\n
      • Pattern analysis to find anomalies<\/li>\n
      • Decision-making based on different data sources<\/li>\n<\/ul>\n

        Multimodal AI could be used in thermal cameras, which would help assess the visual appearance of products through standard cameras and evaluate temperature distribution in products.<\/p>\n

        Such integration helps catch defects that single-modality systems would miss\u2014for example, products may look visually fine but have temperature fluctuations that could indicate potential product quality issues.<\/p>\n

        Capabilities Still Developing<\/strong><\/p>\n

        An audience member asked whether multimodal AI can read body language. The answer is that it’s in development\u2014while the technology attempts to interpret human gestures, this capability is still maturing.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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        <\/div>\n","protected":false},"excerpt":{"rendered":"

        At the AIRE Club held at sTARTUp Day, Martin Rebane (AI Lead) and Ida Maria Orula (AI Developer) from Sparkup at Tartu Science Park explained how multimodal artificial intelligence works. […]<\/p>\n","protected":false},"author":33,"featured_media":12736,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"footnotes":""},"categories":[41],"tags":[],"class_list":["post-12738","post","type-post","status-publish","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"\nAIRE - AIRE Club #44: Multimodal AI Combines Multiple Data Types<\/title>\n<meta name=\"description\" content=\"AIRE; 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