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DTSTART;TZID=America/New_York:20240117T110000
DTEND;TZID=America/New_York:20240117T130000
DTSTAMP:20260403T223041
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SUMMARY:BE Doctoral Dissertation Defense: "MRI Quantification of Cortical Bone Microstructure and Material Composition with Ultrashort Echo Time" (Brandon Jones)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania along with Drs. Chamith Rajapakse and Felix Wehrli are pleased to announce the Doctoral Dissertation Defense of Brandon Jones. \nTitle: “MRI Quantification of Cortical Bone Microstructure and Material Composition with Ultrashort Echo Time” \nDate: Wednesday\, January 17th\, 2024 \nTime: 11:00 AM \nLocation: Donner-Grice Auditorium (HUP Dulles Building 2nd floor) \nZoom option: \nhttps://upenn.zoom.us/j/93114939198?pwd=VGtWVzFwbjNzeXdZeXlOcG40SVlrdz09 \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-mri-quantification-of-cortical-bone-microstructure-and-material-composition-with-ultrashort-echo-time-brandon-jones/
LOCATION:Donner-Grice Auditorium
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240117T120000
DTEND;TZID=America/New_York:20240117T131500
DTSTAMP:20260403T223041
CREATED:20230928T142902Z
LAST-MODIFIED:20230928T142902Z
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SUMMARY:ASSET Seminar: "Scaling Your Large Language Models on a Budget" (Atlas Wang\, University of Texas at Austin)
DESCRIPTION:ABSTRACT: \nAs the sizes of Large Language Models (LLMs) continue to grow exponentially\, it becomes imperative to explore novel computing paradigms that can address the dual challenge of scaling these models while adhering to constraints posed by compute and data resources. This presentation will delve into several strategies aimed at alleviating this dilemma: (1) refraining from training models entirely from scratch\, instead making use of readily available pre-trained models to optimize the training starting point of a new\, larger model; (2) leveraging this concept of progressive initialization to enhance compute and data efficiency during the neural scaling process; (3) integrating hardness-aware data sampling\, and more memory-efficient optimizers (work in progress). The talk will be concluded by a few (informal) thoughts and reflections.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-atlas-wang-university-of-texas-at-austin/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240118T100000
DTEND;TZID=America/New_York:20240118T120000
DTSTAMP:20260403T223041
CREATED:20240109T144649Z
LAST-MODIFIED:20240109T144649Z
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SUMMARY:BE Doctoral Dissertation Defense: "Exploring the cell biology of neurodegenerative diseases at scale" (Saranya Santhosh Kumar)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Ophir Shalem are pleased to announce the Doctoral Dissertation Defense of Saranya Santhosh Kumar.\n \nTitle: Exploring the cell biology of neurodegenerative diseases at scale\n \nDate: January 18\, 2024\nTime: 10:00 am\nLocation: HUB-01-1632 conference room\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-exploring-the-cell-biology-of-neurodegenerative-diseases-at-scale-saranya-santhosh-kumar/
LOCATION:HUB-01-1632 conference room
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240118T153000
DTEND;TZID=America/New_York:20240118T163000
DTSTAMP:20260403T223041
CREATED:20240108T170619Z
LAST-MODIFIED:20240108T170619Z
UID:10007791-1705591800-1705595400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Toward a multi-task\, multi-source foundation model to advance large-scale neural data analysis" (Eva Dyer\, Georgia Tech)
DESCRIPTION:Neuroscience datasets are expanding rapidly in both size and volume. However\, integrating information across diverse datasets to form a unified understanding of brain function remains challenging. In this talk\, I will discuss our initiatives to combine datasets from various tasks\, brain regions\, and species into a unified ‘neurofoundation’ model. This foundational model promises to enhance data efficiency\, brain-machine interface and neural decoder capabilities\, and offer advanced\, user-friendly tools to the broader neuroscience community. These efforts mark a significant step towards a more integrated methodology in neural data analysis.
URL:https://seasevents.nmsdev7.com/event/be-seminar-eva-dyer-georgia-tech/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
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