• The Risks of Unreliable Genius: Lessons Learned from Working With Generative AI at Amazon Alexa.

    ECS 660

    update: Video Recording Abstract: Generative text AI has just recently caught the public’s imagination, but the technology underlying ChatGPT has been well known in industry for years. In this talk, a former Principal Product Manager for Alexa, will demystify what generative text AI models are, what new capabilities they bring, and what risks they introduce. […]

  • May 19, 2023: Heather Russell: High Energy Physics and Data Science

    ECS 660

    May 19, 2023: Heather Russell: High Energy Physics and Data Science. 10:30am-11:30am. ECS 660.  Title: Data analysis at the LHC Abstract: Over ten thousand scientists are currently studying hundreds of petabytes of data collected at the Large Hadron Collider (LHC) at CERN. On top of that, the LHC is colliding protons inside our detectors at […]

  • Lisa Goddard and Sarah Huber: Data Services for UVic Researchers

    ECS 108 Engineering and Computer Science Building, Room 108, Victoria, BC, Canada

    Data Services for UVic Researchers (note different time/location) Research Data are increasingly recognized as critical research outputs which, brought together across projects and disciplines, can help us to solve some of the most pressing global problems. In order to realize this lofty goal, researchers require access to data infrastructure, services, and expertise at their own […]

  • Swapnil Hingmire: WikiLDA: Enhancing Interpretability of LDA Topics Using Wikipedia

    ECS 660

    Please RSVP at this form. Zoom link is available upon RSVP. Video now available. Abstract: Important goals of topic models like Latent Dirichlet Allocation (LDA) are to explore, summarize, and visualize unstructured document corpora. However, recent work has shown that some of these goals are best satisfied if a user is able to interpret and […]