BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MINERVA European Support Centre - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://minerva4ai.eu
X-WR-CALDESC:Events for MINERVA European Support Centre
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Rome
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260223T000000
DTEND;TZID=Europe/Rome:20260227T235959
DTSTAMP:20260421T183722
CREATED:20251218T144522Z
LAST-MODIFIED:20260302T160546Z
UID:806-1771804800-1772236799@minerva4ai.eu
SUMMARY:MINERVA Winter AI School
DESCRIPTION:The Winter AI School offers an intensive\, hands-on learning experience that explores the latest advancements in artificial intelligence. There is a strong focus on high-performance computing (HPC)\, computer vision\, large language models (LLMs)\, multimodal models and the profiling and optimisation of large-scale AI training.  Spanning five days\, the school brings together experts from leading institutions\, including Cineca\, UNIMORE and BSC\, to provide participants with state-of-the-art knowledge and practical skills.On the final day\, participants will work in teams to solve a practical challenge related to either computer vision or LLM scalability. The school is designed for individuals seeking practical skills in advanced AI and large-scale model training. It blends expert lectures\, hands-on sessions and competitive challenges.Participants will gain valuable experience in deploying AI at scale across vision and language domain. \n\n\n\nAgenda\n\n\n\nAI_winterschool_agenda_v0.1Download\n\n\n\n\n\n\n\n\n\nHow to reach CINECA – Bologna\n\n\n\nhttps://www.hpc.cineca.it/about-us/contacts/cineca-bologna/ \n\n\n\n\n\n\n\nMaterials repository\n\n\n\nhttps://github.com/minerva4ai-eu/AI_winter_school_students
URL:https://minerva4ai.eu/event/minerva-winter-ai-school/
LOCATION:Cineca – Von Neumann Room\, Via Magnanelli\, 6/3\, Casalecchio di Reno\, Italy
ORGANIZER;CN="MINERVA":MAILTO:info@minerva4ai.eu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260302T130000
DTEND;TZID=Europe/Rome:20260302T140000
DTSTAMP:20260421T183722
CREATED:20260217T093128Z
LAST-MODIFIED:20260218T095314Z
UID:906-1772456400-1772460000@minerva4ai.eu
SUMMARY:MINERVA Webinar #3 - AMD Enterprise AI Suite
DESCRIPTION:Join us as we explore the AMD Enterprise AI suite\, which helps organizations scale AI from experimentation to production with an open and modular platform. \n\n\n\nAgenda \n\n\n\n\nIntroduction (5 mins)\n\nWelcome & MINERVA Project overview from the coordinator Cineca\n\n\n\nOverview of AMD’s Role in AI: A brief look into how AMD is pioneering advancements in AI to empower innovation and drive efficiency across industries. \n\n\n\n\n\nCommon Challenges with AI Solutions in Enterprises (5 mins)\n\nDiscussion on typical obstacles faced by enterprises in deploying AI solutions\, focusing on the journey from experimentation to production. \n\n\n\n\n\nDemo: AMD Enterprise AI Solution (30 mins)\n\nLive demonstration showcasing the features and capabilities of the AMD Enterprise AI Suite\, highlighting how it addresses key enterprise challenges. \n\n\n\n\n\nQ&A Session (10 mins)\n\nOpen floor for questions
URL:https://minerva4ai.eu/event/minerva-webinar-3-amd-enterprise-ai-suite/
LOCATION:Online
ORGANIZER;CN="MINERVA":MAILTO:info@minerva4ai.eu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260313T110000
DTEND;TZID=Europe/Rome:20260313T140000
DTSTAMP:20260421T183722
CREATED:20260310T100143Z
LAST-MODIFIED:20260310T100143Z
UID:922-1773399600-1773410400@minerva4ai.eu
SUMMARY:ELLIOT & MINERVA Workshop on AI and HPC
DESCRIPTION:As foundation models and other large AI systems continue to scale\, the field faces a growing set of methodological and computational challenges — from efficient training strategies and system-level constraints to reproducibility\, performance optimisation\, and responsible use of compute resources. This workshop will provide a dedicated space to discuss these challenges and explore emerging approaches that advance HPC-AI knowledge across Europe. \n\n\n\nMore details\n\n\n\nhttps://elliot-ai.eu/events/elliot-minerva-workshop-on-ai-and-hpc
URL:https://minerva4ai.eu/event/elliot-minerva-workshop-on-ai-and-hpc/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260421T160000
DTEND;TZID=Europe/Rome:20260421T170000
DTSTAMP:20260421T183722
CREATED:20260417T090849Z
LAST-MODIFIED:20260417T090955Z
UID:936-1776787200-1776790800@minerva4ai.eu
SUMMARY:MINERVA Online Journal Club #1: Large Concept Models
DESCRIPTION:Join us for our inaugural online journal club. In this session\, we will discuss together Meta AI’s work on Large Concept Models [1]. 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 during the session\, send them to minerva@tuebingen.ai.Large Concept Models are Meta AI’s suggestion how to improve reasoning and semantic processing of LLMs by introducing an abstraction layer in the typical LLM architecture that represents higher-level semantic units which they call “concepts”. Concepts are independent of their concrete textual representation and are thus represented using an existing sentence embedding space.  In the session\, we will discuss together what all of this means in detail.Looking forward to see many of you online and diving deep into the research trends. \n\n\n\n[1] https://ai.meta.com/research/publications/large-concept-models-language-modeling-in-a-sentence-representation-space/
URL:https://minerva4ai.eu/event/minerva-online-journal-club-1-large-concept-models/
LOCATION:Online
ORGANIZER;CN="MINERVA":MAILTO:info@minerva4ai.eu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260429T143000
DTEND;TZID=Europe/Rome:20260429T153000
DTSTAMP:20260421T183722
CREATED:20260403T094453Z
LAST-MODIFIED:20260403T094453Z
UID:933-1777473000-1777476600@minerva4ai.eu
SUMMARY:MINERVA Webinar #4 - HPC Coding Agents
DESCRIPTION:The HPC users’ primary goal is scientific discovery. However\, many encounter continuous obstacles when running code on HPC systems. Issues such as configuring environments\, managing modules\, writing job scripts\, and defining correct paths often distract from research goals. We are working to address some of these challenges. \n\n\n\nIn this presentation\, we will introduce and demonstrate an initial coding agent developed by AMD Silo AI specifically for HPC centres. We are designing it to integrate effortlessly with popular coding assistants including Cline\, Claude Code\, and Cursor. The HPC Coding Agent is especially well-suited for scientists\, engineers\, and data teams working with AMD-based HPC systems.
URL:https://minerva4ai.eu/event/minerva-webinar-4-hpc-coding-agents/
LOCATION:Online
END:VEVENT
END:VCALENDAR