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8 events found.

Events

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  • December 2025

  • Thu 11
    Featured image for Profiling AI Workloads on GPUs - identifying performance improvement

    Profiling AI workloads on GPUs – Identifying performance improvements

    11 December 2025, 12:00 - 13:30
    Online

    | Speakers: Joakim Stenberg Rasmus Larsson Daniel Gustafsson Emelie Wahlström from AMD Silo AI About the webinar The seminar is for participants to learn how to identify and analyze performance improvements for AI workloads using profiling. Understand the fundamentals of profiling for AI workloads, which can be further applied upon completion of the seminar. The […]

  • January 2026

  • Thu 22
    Featured image for Resource-efficient AI model prallelisation on LUMI Supercomputer webinar

    Resource-Efficient AI Model Parallelisation on LUMI Supercomputer

    22 January, 11:00 - 12:30

    | Speaker: Dr. Vijeta Sharma About the Webinar This webinar explores how to harness the full potential of the LUMI supercomputer for large-scale AI model training through efficient utilisation of HPC resources. Participants will learn how thoughtful design of neural network architectures and optimal use of parallelisation techniques—such as model, data, and tensor parallelisation—can significantly […]

  • February 2026

  • Wed 11
    Featured image for Webinar healthcare foundation models

    Healthcare foundation models

    11 February, 11:30 - 13:30

    | Speaker: Ludvig Hult, Uppsala University About the Webinar All of society is in rapid change as AI becomes more prolific. Generative models for text and images have disrupted sectors like marketing, publishing and software. Healthcare seems to be lagging behind, largely because many obstacles for AI in healthcare are poorly addressed by well known […]

  • Mon 16

    Introduction to Deep Learning

    16 February, 09:00 - 19 February, 12:00

    Register latest by: 12 Feb 2026 About the event This event is organised by: Mimer AI Factory & LUMI AI Factory (CSC) Deep learning is a powerful subset of machine learning where computers learn patterns from data, similar to how our brains learn. It uses artificial neural networks - systems inspired by biological neurons that […]

  • March 2026

  • Tue 3

    Secure coding for data scientists

    3 March, 11:00 - 12:00

    About the webinar We give an overview of secure coding practices and guidelines. What should we keep in mind while writing code so as to mitigate security concerns. We will mention and explain some of the most common vulnerabilities is code and exemplify from a data science perspective. Who is the webinar for? Developers and […]

  • Tue 17

    CodeRefinery workshop on coding tools and techniques for reproducible research

    17 March, 10:00 - 26 March, 15:00
    Hjärne and Lallerstedt, KTH Library and online

    About the course Are you writing code for your research? Do you want to make your research results more reproducible? Do you struggle to reproduce results of your own or others computations? Join the CodeRefinery workshop on coding tools and techniques. 🗓️ The workshop runs on March 17–19 and March 24–26, offering three consecutive days each week […]

  • Wed 25
    Mimer hackaton cover

    Mimer hackathon

    25 March, 17:00 - 20:00
    Drottning Kristinas väg 61, Stockholm

    ​About the hackathon Join our hackathon to learn how to use "research AI agents" using free European infrastructure. We are pleased to collaborate with ​Stockholm AI and bring you this mini hackathon that will utilize Mimer's free AI infrastructure. ​The agenda is as follows: ​17:15 Doors open + mingle 18:00 Introduction to Mimer and the […]

  • April 2026

  • Wed 15
    Mimer webinar cover photo with smiling man

    Operationalizing AI: MLOps x LLMOps

    15 April, 11:00 - 12:30

    About the webinar In this MLOps and LLMOps webinar, we’ll walk through the entire AI lifecycle - from idea and experimentation to production, deployment and continuous monitoring, highlighting how AI differs from traditional software (data-driven, non-linear, and sometimes unpredictable even when “done right”). You’ll learn the main deployment patterns (batch/offline, real-time/online, and common patterns employed […]

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