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X-WR-CALDESC:Events for MINERVA European Support Centre
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DTSTART;TZID=Europe/Rome:20260616T100000
DTEND;TZID=Europe/Rome:20260616T110000
DTSTAMP:20260616T134629Z
CREATED:20260604T121053Z
LAST-MODIFIED:20260616T134629Z
UID:946-1781604000-1781607600@minerva4ai.eu
SUMMARY:MINERVA Webinar #5: Profiling AI workloads on GPUs – Identifying performance improvements
DESCRIPTION:The Webinar is for participants interested 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 webinar. The webinar combines theoretical knowledge with guided coding walkthrough to help participants identify performance improvements\, understand traces\, and enhance efficiency of AI workloads on GPUs. \n\n\n\nIf you’re interested in how to use profiling to identify performance improvements for your AI workloads\, then this seminar is for you and/or if you’re working as e.g.\, a Data/AI scientist or as an engineer. \n\n\n\nAgenda \n\n\n\n\nIntroduction (5 min)\n\nWelcome & Project Introduction\n\n\n\nOverview of speaker role in AI and MINERVA\n\n\n\n\n\nIntroduction to Profiling (5 min)\n\n\n\nGetting Started with profiling (25 min)\n\n\n\nHow to profile AI workloads in practice (20min)\n\n\n\nClosing and Q&A Session (5 mins)\n\nOpen floor for questions\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nEnjoyed this event? Take our post training survey!
URL:https://minerva4ai.eu/event/minerva-webinar-5-profiling-ai-workloads-on-gpus-identifying-performance-improvements/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260707T160000
DTEND;TZID=Europe/Rome:20260707T170000
DTSTAMP:20260722T100005Z
CREATED:20260702T205840Z
LAST-MODIFIED:20260722T100005Z
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SUMMARY:MINERVA Online Journal Club #2: VL-JEPA: Joint Embedding PredictiveArchitecture for Vision-language
DESCRIPTION:We’ll return with the second installment of the online journal club. In the meeting\, we will have a look together at (VL-)JEPA [1]\, a model from Yann LeCun’s research agenda around Joint Embedding Predictive Architectures. Our team from Tübingen AI Center will host and lead the discussion. The session is open to all and free of charge. We encourage you to read the paper before joining\, but it’s not a strict requirement. If you have specific questions that you want to have discussed duringthe session\, send them to minerva@tuebingen.ai. \n\n\n\n(VL-)JEPA [1] is an approach to enhance vision-language models by introducing a predictive architecture. Instead of generating text tokens directly\, it predicts continuous embeddings representing abstractsemantic concepts. The intuition behind this is to have the model to focus on task-relevant meaning\, abstracting from surface-level linguistic variations\, leading to more efficient and semantically rich representations. \n\n\n\nLooking forward to see many of you online and diving deep into the research trends. \n\n\n\n[1] https://openreview.net/forum?id=tjimrqc2BU \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nRecordings
URL:https://minerva4ai.eu/event/minerva-online-journal-club-2-vl-jepa-joint-embedding-predictivearchitecture-for-vision-language/
LOCATION:Online
ORGANIZER;CN="MINERVA":MAILTO:info@minerva4ai.eu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260804T160000
DTEND;TZID=Europe/Rome:20260804T170000
DTSTAMP:20260722T100257Z
CREATED:20260722T095659Z
LAST-MODIFIED:20260722T100257Z
UID:1034-1785859200-1785862800@minerva4ai.eu
SUMMARY:MINERVA Online Journal Club #3: Exploring Mamba-3
DESCRIPTION:The third instalment of the online journal club will feature the third instalment of the Mamba model series. We will discuss and dissect the ICLR 2026 paper “Mamba-3: Improved Sequence Modeling using State Space Principles” by Lahoti et al. [1]. Again\, the Tübingen AI Center team will host and lead the discussion. The session is open to all and free of charge. We encourage you to read the paper before joining\, but it’s not a strict requirement. If you have specific questions that you want to have discussed during the session\, send them to minerva@tuebingen.ai. \n\n\n\nMamba-3 [1] is the third instalment of an alternate LLM model architecture [2\, 3]. While the majority of transformer-based LLM architectures are structured as auto-regressive models\, mapping sequences of length n to sequences of length n+1\, models in the Mamba family capture the state of the model in a latent state\, thus circumventing the linear memory and quadratic compute cost at inference time. We will have a close look what implications this has both in terms of computational requirements\, but also in model performance and what future improvements might be expected from models in this family. \n\n\n\nLooking forward to see many of you online and diving deep into the research trends.  \n\n\n\n[1] https://openreview.net/forum?id=HwCvaJOiCj[2] https://openreview.net/forum?id=ztn8FCR1td[3] https://openreview.net/forum?id=tEYskw1VY2
URL:https://minerva4ai.eu/event/minerva-online-journal-club-3-mamba-3/
ORGANIZER;CN="T%C3%BCbingen AI Center":MAILTO:minerva@tuebingen.ai
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DTSTART;TZID=Europe/Rome:20260929T150000
DTEND;TZID=Europe/Rome:20260929T160000
DTSTAMP:20260903T143053Z
CREATED:20260903T143052Z
LAST-MODIFIED:20260903T143053Z
UID:1053-1790694000-1790697600@minerva4ai.eu
SUMMARY:MINERVA Webinar #6: HPC Coding Agents – 2nd workshop
DESCRIPTION:Description\n\n\n\nFollowing the previous workshop in April\, AMD Silo AI has refactored and open-sourced hpc-assistant for the HPC community and general audiences. The tool simplifies workflows across key areas: 📦 Easy Installation 📚 Knowledge Base Integration 📋 HPC Job Creation🛠️ Troubleshooting 📈 Performance Optimization 📊 Resource Management. In this presentation\, we will share the updates and demonstrate how to setup the assistant and run it with various HPC tasks. We will also cover the new energy profiling feature which is releasing soon. Code can be already accessed here: https://github.com/silogen/hpc-assistant   \n\n\n\nAgenda\n\n\n\n\n    Introduction (5 mins)\n\n    Welcome & Project Introduction from coordinator\n\n\n\n    Overview of speaker role in AI and MINERVA  \n\n\n\n\n\n    AMD Silo AI HPC Coding Agents (30 mins)\n\n    Updates on the AMD HPC Coding Agent  \n\n\n\n    Key capabilities and demo\, including energy profiling\n\n\n\n    Goals and future development outlook  \n\n\n\n\n\n    Closing and Q&A Session (15 mins)\n\n    Open floor for questions
URL:https://minerva4ai.eu/event/minerva-webinar-6-hpc-coding-agents-2nd-workshop/
LOCATION:Online
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BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20261116T000000
DTEND;TZID=Europe/Rome:20261118T235959
DTSTAMP:20260901T102358Z
CREATED:20260901T083712Z
LAST-MODIFIED:20260901T102358Z
UID:1044-1794787200-1795046399@minerva4ai.eu
SUMMARY:AI2F & MINERVA Hackathon: AI for Health 
DESCRIPTION:Driven by CINES’s growing involvement in the health sector and the rapid development of Artificial Intelligence in healthcare\, AI Factory France and MINERVA have joined forces to host a hackathon dedicated to AI for Healthcare.  \n\n\n\nHosted at CINES in Montpellier\, France\, this edition will bring together developers\, researchers\, clinicians\, data scientists\, and HPC/AI support teams to collaborate on real-world healthcare AI challenges. Participants will explore how to develop trustworthy AI solutions that combine performance\, explainability\, ethical principles\, and data sovereignty.  \n\n\n\nDuring this hackathon\, participating teams will have the opportunity to:  \n\n\n\n\nAddress healthcare data challenges and compliance requirements. \n\n\n\nDevelop trustworthy and explainable AI models for clinical and biomedical applications. \n\n\n\nOptimize AI training and inference workloads. \n\n\n\nScale applications accros multi-GPU and multi-node environnements. \n\n\n\nReceive hands-on support from experienced HPC and AI experts. \n\n\n\nExchange knowledge and best practices with teams from across the European computing community. \n\n\n\n\nParticipants are encouraged to bring their own AI project and benefit from expert guidance while running their workloads either on their own infrastructure or on some of Europe’s leading supercomputers\, including Adastra\, LUMI\, and Jean-Zay.  \n\n\n\nIf you have any questions\, please feel free to contact us at info@minerva4ai.eu.  \n\n\n\nApplications are open until 25 September\, EOB. To apply\, please complete the application form. 
URL:https://minerva4ai.eu/event/ai2f-minerva-hackathon-healthcare-ai/
LOCATION:CINES – Montpellier\, France\, 950 rue de St Priest\, Montpellier\, 34097\, France
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