BEGIN:VCALENDAR VERSION:2.0 PRODID:-//91±¬ÁĎ Calendar - ECPv6.15.20//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:91±¬ÁĎ Calendar X-ORIGINAL-URL:/calendar X-WR-CALDESC:Events for 91±¬ÁĎ Calendar 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:20250309T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20251102T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20260308T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20261101T060000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:EDT DTSTART:20270314T070000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 TZOFFSETTO:-0500 TZNAME:EST DTSTART:20271107T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20260201 DTEND;VALUE=DATE:20260202 DTSTAMP:20260521T041703 CREATED:20250711T173520Z LAST-MODIFIED:20250711T173520Z UID:10002430-1769904000-1769990399@umaine.edu SUMMARY:Application for graduation filing deadline (May) DESCRIPTION:Click here to view the full 2025–26 Academic Year Calendar. URL:/calendar/event/application-for-graduation-filing-deadline-may-2/ LOCATION:ME CATEGORIES:Academic Calendar END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260202 DTEND;VALUE=DATE:20260203 DTSTAMP:20260521T041703 CREATED:20250711T173651Z LAST-MODIFIED:20250711T173651Z UID:10002436-1769990400-1770076799@umaine.edu SUMMARY:Last day to drop classes for refund DESCRIPTION:Class information is based on full semester classes. MaineStreet provides information on non-standard dated classes. Summer University classes have variable start and end dates; Holidays: Memorial Day\, Juneteenth & Independence Day Grading options (audit\, graded or pass/fail) on classes may be changed through the add period of the class section. \nClick here to view the full 2025–26 Academic Year Calendar. URL:/calendar/event/last-day-to-drop-classes-for-refund-4/ LOCATION:ME CATEGORIES:Academic Calendar END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260216 DTEND;VALUE=DATE:20260217 DTSTAMP:20260521T041703 CREATED:20250711T173552Z LAST-MODIFIED:20250711T173552Z UID:10002433-1771200000-1771286399@umaine.edu SUMMARY:No classes Presidents' Day DESCRIPTION:Click here to view the full 2025–26 Academic Year Calendar. URL:/calendar/event/no-classes-presidents-day-2/ LOCATION:ME CATEGORIES:Academic Calendar END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260220 DTEND;VALUE=DATE:20260221 DTSTAMP:20260521T041703 CREATED:20250711T173735Z LAST-MODIFIED:20250711T173735Z UID:10002439-1771545600-1771631999@umaine.edu SUMMARY:Classes dropped after this date will appear on transcript DESCRIPTION:Click here to view the full 2025–26 Academic Year Calendar. URL:/calendar/event/classes-dropped-after-this-date-will-appear-on-transcript-2/ LOCATION:ME CATEGORIES:Academic Calendar END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/New_York:20260227T151500 DTEND;TZID=America/New_York:20260227T163000 DTSTAMP:20260521T041703 CREATED:20260225T153053Z LAST-MODIFIED:20260225T153116Z UID:10006659-1772205300-1772209800@umaine.edu SUMMARY:Physics and Astronomy Colloquium: Sustainable\, Reliable\, and Secure AI DESCRIPTION:The latest installment of the Colloquium Series from the Department of Physics and Astronomy is scheduled to take place on February 27 at 3:15 PM in 140 Bennett Hall. \nThe event – titled “Sustainable\, Reliable\, and Secure AI” – will be presented by Ayesha Siddique\, assistant professor in the Department of Computer and Electrical Engineering at the 91±¬ÁĎ. \nFrom the abstract: \nApproximate computing has been widely explored as a means to improve the energy efficiency of deep neural networks (DNNs) for edge AI hardware. However\, both accurate and approximate DNNs remain inherently vulnerable to faults and adversarial attacks\, and the reliability and adversarial robustness of approximate DNNs remain largely unexplored. This gap presents an opportunity to rethink how we design sustainable and dependable AI hardware. In this seminar\, I will discuss our recent advances in post-fabrication fault mitigation methods and the principled selection of hardware approximation techniques to preserve adversarial robustness under attack. I will highlight how we leverage emerging computing paradigms\, such as explainable artificial intelligence\, neural architecture search\, moving target defense\, and neuromorphic computing\, to ensure reliability\, security\, and energy efficiency. This seminar outlines a path toward AI hardware that is not only high-performing and energy-aware but also resilient against both hardware faults and security threats. \nThis event is free and open to the public. URL:/calendar/event/physics-and-astronomy-colloquium-sustainable-reliable-and-secure-ai/ LOCATION:140 Bennett Hall\, 18 Gym Road\, Orono\, ME CATEGORIES:Academic Calendar,Lectures & Seminars END:VEVENT END:VCALENDAR