BEGIN:VCALENDAR
PRODID:-//github.com/rianjs/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VEVENT
ATTENDEE;CN=Zhanna Naymankhanova;PARTSTAT=REQ-PARTICIPANT;RSVP=TRUE:
DESCRIPTION:<p>Senstile goes beyond traditional material analysis ? the co
 mpany says it has mastered Digital Material Fingerprints\, creating a uni
 que Material DNA for each textile. Its technology doesn?t measure\; it di
 gitises\, capturing touch\, structure\, texture\, colour\, fibre and chem
 ical attributes into a multidimensional AI-ready vector. This allows AI t
 o understand textiles in their full complexity\, rather than relying on p
 redefined measurements. A common misconception is that feeding lab tests 
 and manufacturing data into AI is enough to drive innovation. This old\, 
 statistical approach limits AI to working with fixed data points. True br
 eakthroughs require Generative AI\, but for that\, AI needs deep\, struct
 ured material intelligence?not just numbers. By integrating lab results\,
  production data\, and external sources on top of our textile fingerprint
 s\, Senstile will discuss how it unlocks AI-driven material optimisation\
 , advances in Digital Product Passport\, generative design\, and new indu
 stry collaborations.</p>
DTSTAMP:20250611T150000
DTSTART:20250611T150000
ORGANIZER;CN=Your app name:mailto:abc@gmail.com
SEQUENCE:0
SUMMARY:Digitising Textile Development Using AI
TRANSP:TRANSPARENT
UID:f0b3699b-c7f6-45fe-bd5a-2278453794a2
END:VEVENT
END:VCALENDAR