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DTSTART;TZID=Europe/Stockholm:20250117T100000
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UID:178115-1737108000-1737118800@www.scilifelab.se
SUMMARY:KTH: Building and sharing machine learning demo applications
DESCRIPTION:This event is open to everyone at KTH. It consists of a workshop followed by a free lunch for all participants.  \n\n\n\nTitle: Building and sharing machine learning demo applications: a practical tutorial. \n\n\n\nOrganizer: KTH Library staff and AI Data Engineers from the SciLifeLab Serve team. \n\n\n\nWhere and when: January 17\, 2025 at 10:00-13:00 at KTH Library\, room Salongen\, floor 2. Address: Osquars backe 31\, Stockholm\, on the map \n\n\n\nAgenda:10:00-12:00: Workshop12:00-13:00: Lunch \n\n\n\nAbstract: It is becoming increasingly popular to share machine learning models with the community as web applications with an easy-to-use interface. Users can then adjust parameters or submit their own input and see the predictions generated by the underlying model. This tutorial is aimed at KTH researchers (all career levels welcome) who work with machine learning models but do not have the skills to build interactive applications for web. During the tutorial we will start from a trained model and demonstrate step by step how you can create a graphical user interface for your application\, prepare it for deployment\, and make it available on the web with a URL. We will demonstrate the use of specific tools which make this process easy and doable in under an hour\, specifically we will demonstrate and try out Gradio for app building. We will also demonstrate SciLifeLab Serve\, a platform for hosting models and applications available to all researchers in Sweden. \n\n\n\nLunch: After the workshop all participants are invited for lunch. During the lunch participants will have an opportunity to informally chat with KTH Library staff and SciLifeLab Data Centre to discuss the needs for services and research infrastructure in research using machine learning methods. \n\n\n\nCapacity: We have room to accept 35 participants\, on the first come first served basis. Those registered after that will be placed on the waiting list and offered a spot when someone cancels. \n\n\n\nSince there is a limited number of spots in this workshop please sign up only if you intend to attend. \n\n\n\nRegister to join the event\n\n\n\nFor questions about the events please contact the organizing team by emailing  serve@scilifelab.se  \n\n\n\n \n\n\n\nScientific lead: Prof. Ola Spjuth\, SciLifeLab Data Centre and Uppsala University \n\n\n\nContact information: serve@scilifelab.se
URL:https://www.scilifelab.se/event/kth-building-and-sharing-machine-learning-demo-applications/
LOCATION:KTH Library\, room Salongen\, Osquars backe 31\, Stockholm\, 11428\, Sweden
CATEGORIES:Event
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