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DTSTART;TZID=America/Los_Angeles:20260408T103000
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SUMMARY:XRI Tech Talk with Pier Paolo Bellini
DESCRIPTION:Immersive Communication for the Enhancement of Cultural Heritage: Opportunities and Questions\n\nJoin us for a presentation by Pier Paolo Bellini\, Associate Professor of Sociology of Cultural Processes at the University of Molise. Professor Bellini teaches Sociology of Communication\, Sociology of the Media\, Sociology of Educational and Communicative Processes\, and Sound Management Laboratory in Multimedia Products. Recently publishing The Creative Gesture: Contexts\, Processes\, Actors of Creativity in 2024\, the central themes of his research focus on the study of two cultural processes: expressiveness linked to symbolic dynamics (particularly those of a creative nature) and the educational processes that underlie the construction of identity. \nOver the last several years\, he has been working on projects dedicated to the use of technology (virtual reality\, augmented reality\, and the metaverse) for the enhancement of cultural heritage\, publishing. In particular\, his upcoming project will introduce artificial intelligence (in the form of an avatar) to guide visitors through the archaeological sites of our region. \nSchedule: \n\n10:30 a.m. Coffee and registration\n11:00 a.m.  Presentation\n11:30 a.m.  Discussion\n12-12:30 p.m. Wrap up and conclusion\n\nSupport for this XRI event provided by DataX and OARC.
URL:https://workshops.ucla.edu/workshop/xri-tech-talk-with-pier-paolo-bellini/
LOCATION:OARC Portal\, Math Sciences 5628\, 5628 Math Science Building\, UCLA
CATEGORIES:Presentations
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DTSTART;TZID=America/Los_Angeles:20260309T140000
DTEND;TZID=America/Los_Angeles:20260309T160000
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CREATED:20251219T193409Z
LAST-MODIFIED:20260309T001523Z
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SUMMARY:AI for Biomedical Microscopy Data Reconstruction
DESCRIPTION:This workshop will explore how artificial intelligence is used to reconstruct biomedical microscopy data\, emphasizing both the opportunities and the risks of these approaches. While AI has enabled remarkable advances in virtual staining\, super-resolution\, and image translation\, biomedical imaging presents unique challenges that make hallucinations far more consequential than in other domains. A false structure in a pathology slide is not just an artifact\, it can represent a disease feature or even a “patient” that never existed. The workshop will therefore focus on the nuances of model selection\, data preprocessing\, and evaluation strategies needed to responsibly apply AI in biomedical microscopy. \nTarget Audience: This workshop is designed for computational scientists collaborating with biomedical researchers who want deeper insight into the challenges of high‑stakes medical imaging. It is also open to undergraduate and graduate students\, as well as other biomedical researchers. \nLearning outcomes: \n— Identify risks of AI hallucinations in biomedical imaging and explain why these differ from other application areas. \n— Compare the performance characteristics (strengths and weaknesses) of GANs\, CycleGANs\, and diffusion models in microscopy reconstruction. \n— Evaluate the role of data cleaning\, preprocessing\, and representation in reducing model failure. \n— Apply criteria to assess whether an AI-generated biomedical image is trustworthy for downstream interpretation. \n— Differentiate between appropriate and inappropriate use cases of AI in microscopy based on model behavior and validation evidence. \n\n\nThis workshop will be hosted by IDRE Fellow\, Dr. Paloma Casteleiro Costa. \nRegister Now!
URL:https://workshops.ucla.edu/workshop/ai-for-biomedical-microscopy-data-reconstruction/
LOCATION:OARC Portal\, Math Sciences 5628\, 5628 Math Science Building\, UCLA
CATEGORIES:Training workshop / Tutorial
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