BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:America/Los_Angeles X-WR-TIMEZONE:America/Los_Angeles BEGIN:VEVENT UID:243@escience.washington.edu DTSTART;TZID=America/Los_Angeles:20241119T163000 DTEND;TZID=America/Los_Angeles:20241119T172000 DTSTAMP:20241204T225601Z URL:https://escience.washington.edu/events/uw-data-science-seminar-bridget -leonard/ SUMMARY:UW Data Science Seminar: Bridget Leonard DESCRIPTION:\n\nPlease join us for a UW Data Science Seminar on Tuesday\, N ovember 19th from 4:30 to 5:20 p.m. PT. The seminar will feature Bridget L eonard\, post-baccalaureate research scientist with Scott Murray in the UW Psychology Department.\n\nThe seminar will be held in the Physics/Astrono my Auditorium (PAA)\, Room A118 - campus map.\n\n\n"Comparing Neural Repr esentations in AI Systems and the Human Brain "\nAbstract: This talk exami nes the intersection of artificial and biological intelligence by comparin g neural representations in AI systems and the human brain. Leveraging mul timodal vision models\, such as LLaVA and GPT-4o\, we explore how these sy stems emulate cognitive and visual perceptual processes\, including emotio n detection and spatial reasoning. First\, we demonstrate that current mod els are closely aligned with neural computations in the human ventral visu al stream\, which is critical for object recognition. For tasks engaging t his system\, AI models exhibit 'superhuman' performance\, often meeting or surpassing human capabilities. However\, we show that for visual processe s requiring computations performed by areas outside the ventral stream\, s uch as spatial transformations\, current AI models fail. This misalignment leads to a significant breakdown in performance\, even for basic spatial reasoning tasks. Using voxel-wise encoding models\, we map the computation al alignments and gaps between AI models and human neural systems. Our fin dings offer insights into the extent of AI's alignment with human brain fu nctions and outline potential directions for enhancing AI's capacity to ha ndle more complex cognitive and perceptual tasks.\nBio: Bridget is a post- baccalaureate research scientist in the Murray lab in the Psychology depar tment at UW. Her interest lies in the areas of computational neuroscience and NeuroAI\, where she is currently comparing human cognition to AI syste ms. Her research aims to understand and model the neural processes within AI systems to contribute to model interpretability while building better m odels of the human brain.\n\nThe UW Data Science Seminar is an annual lec ture series at the University of Washington that hosts scholars working ac ross applied areas of data science\, such as the sciences\, engineering\, humanities and arts along with methodological areas in data science\, such as computer science\, applied math and statistics. Our presenters come fr om all domain fields and include occasional external speakers from regiona l partners\, governmental agencies and industry.\n\n \;\n\nThe 2024-20 25 seminars will be held in person\, and are free and open to the public. ATTACH;FMTTYPE=image/jpeg:https://escience.washington.edu/wp-content/uploa ds/2024/11/headshot-1.jpg LOCATION:Physics/Astronomy Auditorium\, room A118\, Seattle\, WA\, X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Seattle\, WA\, ;X-APPLE-RAD IUS=100;X-TITLE=Physics/Astronomy Auditorium\, room A118:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:America/Los_Angeles X-LIC-LOCATION:America/Los_Angeles BEGIN:STANDARD DTSTART:20241103T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE END:VCALENDAR