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DTSTART:20241031T143000Z
DTEND:20241101T033000Z
DTSTAMP:20241021T164100Z
CREATED:20241021
LAST-MODIFIED:20241021
PRIORITY:5
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TRANSP:OPAQUE
SUMMARY:The Mathematics of Deep Neural Networks with Application in Predicting the Spread of Infectious Diseases through Disease-Informed Neural Networks
DESCRIPTION:We’re excited to kick off the Super Spreader Seminar Series ( https://omni-reunis.ca/super-spreader-seminar-series/ ) (SSSS) fall instalment following our summer break! In the coming months, we will continue to host this series, inviting researchers and field experts to showcase their work across the network.\nFor our first session of the season, we are thrilled to get things started with Nickson Golooba, who will be presenting on “The Mathematics of Deep Neural Networks with Application in Predicting the Spread of Infectious Diseases through Disease-Informed Neural Networks (DINNs).”  We look forward to your attendance on Oct. 31 from 10:30 to 11:30 a.m. If you’re at York University’s Keele Campus, we invite you to join us at our lab located at the Petrie Science & Engineering Building (PSE), Room 018, 140 Campus Walk. To attend this event virtually, please register here ( https://yorku.zoom.us/meeting/register/tJMvc-ugrj0sEtwXCQc8exsayI4VEMeZslZK#/registration )  and feel free to share this invitation with your colleagues, networks and other researchers. Kindly refer to the attached poster for more details on the seminar and speaker.\nIf you have any questions regarding the SSSS and the network, reach out to Nolan Holder, program manager, at nholder@yorku.ca.\nHope to see you there!\n
URL:https://events.yorku.ca/events/the-mathematics-of-deep-neural-networks-with-application-in-predicting-the-spread-of-infectious-diseases-through-disease-informed-neural-networks/
ORGANIZER;CN=Nolan Holder:MAILTO:nholder@yorku.ca
CATEGORIES:Artificial Intelligence,Faculty of Environmental & Urban Change,Faculty of Science,Research & Innovation
LOCATION:Room 018
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