BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//SPE Product Design and Development Division - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://pd3.4spe.org
X-WR-CALDESC:Events for SPE Product Design and Development Division
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231016T080000
DTEND;TZID=America/New_York:20231017T170000
DTSTAMP:20260414T185613
CREATED:20230906T140640Z
LAST-MODIFIED:20230906T140745Z
UID:554-1697443200-1697562000@pd3.4spe.org
SUMMARY:Reducing Plastic Waste Through Artificial Intelligence
DESCRIPTION:In this event\, we will explore how artificial intelligence (AI) and digitalization are revolutionizing the plastic industry\, offering robust solutions that can effectively mitigate plastic waste and optimize its usage through increased recycling. By harnessing the power of intelligent algorithms in conjunction with advanced technologies like the Internet of Things (IoT) and geolocation\, waste collection in urban areas can be significantly improved and optimized. \nFind out more here \nSmart bins\, integrated with AI capabilities\, will be highlighted as they play a pivotal role in sorting materials at their source\, maximizing the recycling potential of plastics and other materials. Moreover\, state-of-the-art recycling plants are now incorporating cutting-edge technologies such as image sensors\, various sensors\, and machine learning algorithms\, resulting in enhanced efficiency and precision in the sorting process. This facilitates a more accurate categorization of materials\, contributing to effective waste management. Digitalization technologies will be discussed\, highlighting their potential in enhancing the traceability of products. By enabling efficient identification of material composition\, these technologies play a crucial role in streamlining the recycling process. \nAdditionally\, generative design algorithms will be explored\, showcasing their ability to create innovative products and packaging designs that minimize the use of plastic and materials\, while still meeting performance specifications. During the event\, we will discuss the latest advancements in these technologies and delve into the challenges and opportunities surrounding their implementation. Furthermore\, we will explore the potential impact of these innovations on plastic waste handling. \nThis event serves as a platform for knowledge exchange and sharing insights on these cutting-edge solutions\, highlighting their significance in the ongoing fight against plastic waste.\n\n\n\n\n\n\n\n  \n\n\n\n\n\n\n\n 
URL:https://pd3.4spe.org/event/reducing-plastic-waste-through-artificial-intelligence/
LOCATION:Sheraton Inner Harbor Hotel\, 300 South Charles Street\, Baltimore\, MD\, 21201\, United States
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://pd3.4spe.org/wp-content/uploads/2023/09/2023-09-06_9-05-44.png
ORGANIZER;CN="SPE-Inspiring Plastics Professionals":MAILTO:spe@4spe.org
END:VEVENT
END:VCALENDAR