Deprecated: TEC\Events_Pro\Custom_Tables\V1\WP_Query\Modifiers\Events_Not_Recurring_Custom_Tables_Query_Modifier::applies_to(): Implicitly marking parameter $query as nullable is deprecated, the explicit nullable type must be used instead in /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php on line 61
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/the-events-calendar/src/Tribe/Views/V2/iCalendar/iCalendar_Handler.php on line 263
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/disable-xml-rpc-pingback/disable-xml-rpc-pingback.php on line 51
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/the-events-calendar/src/Tribe/iCal.php on line 511
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/the-events-calendar/src/Tribe/iCal.php on line 512
Warning: Cannot modify header information - headers already sent by (output started at /home/seasevents/public_html/wp-content/plugins/events-calendar-pro/src/Events_Pro/Custom_Tables/V1/WP_Query/Modifiers/Events_Not_Recurring_Custom_Tables_Query_Modifier.php:61) in /home/seasevents/public_html/wp-content/plugins/the-events-calendar/src/Tribe/iCal.php on line 515
BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.18.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
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:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200116T104500
DTEND;TZID=America/New_York:20200116T114500
DTSTAMP:20200102T182754Z
CREATED:20200102T182754Z
LAST-MODIFIED:20200102T182754Z
UID:2414-1579171500-1579175100@seasevents.nmsdev7.com
SUMMARY:MSE Grace Hopper Lecture: "Artificial Intelligence for Generating Materials Science Knowledge"
DESCRIPTION:The process of scientific inquiry involves observing a signal (data) and interpreting it to generate information (knowledge). For example\, in electron microscopy the signal may be a diffraction pattern from which information on crystal orientation may be deduced by applying diffraction theory. Science advances both through improvements in gathering data and in techniques for extracting knowledge from it. Artificial intelligence (AI) – a broad term comprising data science\, machine learning (ML)\, neural network computing\, computer vision\, and other technologies – opens new avenues for extracting information from high-dimensional materials data. In that sense\, AI offers the possibility to advance materials science in the same way as a new imaging modality or a new theoretical model. The applications of AI in materials science cut a broad swath\, from large\, labelled data sets the fit naturally in the Big Data paradigm to small\, sparse\, multimodal data sets that test the limits of cutting-edge AI. \nThis presentation will focus on AI applications in the context of image-based data\, including both visual features and composition\, processing\, or properties metadata. Computer vision (CV) representations are developed to numerically encode the visual information contained in images. ML tools are then selected based on the characteristics of the data set and the desired outcome. For example\, a large\, homogeneous data set of steel inclusions is best suited to a Deep Learning approach involving a purpose-built convolutional neural network. In contrast\, a random-forest method can find significant trends in a small\, multi-modal data set that includes microstructural\, crystallographic\, and micromechanical data. Complex image segmentation leverages a convolution neural network that has been trained using images very different from those it is applied to. These case studies will motivate a discussion of AI method selection based on data set characteristics and desired outcomes. The ultimate goal is to develop AI as a new tool for information extraction and knowledge generation in materials science.
URL:https://seasevents.nmsdev7.com/event/mse-grace-hopper-lecture-artificial-intelligence-for-generating-materials-science-knowledge/
LOCATION:Auditorium\, LRSM Building\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
END:VCALENDAR