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DTSTART;TZID=America/New_York:20231218T110000
DTEND;TZID=America/New_York:20231218T130000
DTSTAMP:20260404T001138
CREATED:20231214T143450Z
LAST-MODIFIED:20231214T143450Z
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SUMMARY:BE Doctoral Dissertation: "Development of Hyperpolarized Xenon-129 Imaging Approaches for Assessing Lung Transplantation" (Faraz Amzajerdian)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Rahim Rizi are pleased to announce the Doctoral Dissertation Defense of Faraz Amzajerdian.\n\nTitle: “Development of Hyperpolarized Xenon-129 Imaging Approaches for Assessing Lung Transplantation”.\n\nDate: Monday\, December 18\, 2023\nTime: 11:00 AM\nLocation: Donner-Grice Auditorium (HUP Dulles Building 2nd floor)\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-development-of-hyperpolarized-xenon-129-imaging-approaches-for-assessing-lung-transplantation-faraz-amzajerdian/
LOCATION:Donner-Grice Auditorium
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
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DTSTART;TZID=America/New_York:20231220T140000
DTEND;TZID=America/New_York:20231220T150000
DTSTAMP:20260404T001138
CREATED:20231205T185745Z
LAST-MODIFIED:20231205T185745Z
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SUMMARY:MEAM Seminar: “Innovations in Rocket Propulsion Systems”
DESCRIPTION:Rocket propulsion systems push the limits of our understanding and applications of science\, engineering\, and manufacturing. With every new mission requirement there is need for innovations in the design\, modeling and fabrication of components and systems that come together to propel flight vehicles through the earth’s atmosphere as well as the vacuum of space. In this mini lecture\, I will attempt to draw the lines that connect the fundamentals of rocket propulsion to the innovations that are behind the current boost in commercial space exploration.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-innovations-in-rocket-propulsion-systems/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
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DTSTART;TZID=America/New_York:20231221T100000
DTEND;TZID=America/New_York:20231221T110000
DTSTAMP:20260404T001138
CREATED:20231129T212217Z
LAST-MODIFIED:20231129T212217Z
UID:10007771-1703152800-1703156400@seasevents.nmsdev7.com
SUMMARY:Fall 2023 GRASP Seminar: Hadar Elor\, Tel Aviv University\, "Marrying Vision and Language: A Mutually Beneficial Relationship?"
DESCRIPTION:This is a virtual event with virtual attendance on Zoom.  \nABSTRACT\nFoundation models that connect vision and language have recently shown great promise for a wide array of tasks such as text-to-image generation. Significant attention has been devoted towards utilizing the visual representations learned from these powerful vision and language models. In this talk\, I will present an ongoing line of research that focuses on the other direction\, aiming at understanding what knowledge language models acquire through exposure to images during pretraining. We first consider in-distribution text and demonstrate how multimodally trained text encoders\, such as that of CLIP\, outperform models trained in a unimodal vacuum\, such as BERT\, over tasks that require implicit visual reasoning. Expanding to out-of-distribution text\, we address a phenomenon known as sound symbolism\, which studies non-trivial correlations between particular sounds and meanings across languages\, and demonstrate the presence of this phenomenon in vision and language models such as CLIP and Stable Diffusion. Our work provides new angles for understanding what is learned by these vision and language foundation models\, offering principled guidelines for designing models for tasks involving visual reasoning.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-seminar-hadar-elor-tel-aviv-university-marrying-vision-and-language-a-mutually-beneficial-relationship/
LOCATION:Zoom
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
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