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SUMMARY:European AI Hackathon
DTSTART:20261006T070000Z
DTEND:20261029T160000Z
DTSTAMP:20261014T045800Z
UID:indico-event-307@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Start Date: 06 Oct 2026\, 10:00 (CEST) Entry level:  Interm
 ediate/ExpertEnd date:  29 Oct 2026\, 17:00 (CEST) Subject area:  Artif
 icial Intelligence (AI)Location:  Hybrid (Online/On-Site) Topics:  Agen
 tic AILanguage: English   Target audience:  Industry\, public admin\, 
 academiaPrice:   Free (for eligible participants)     Organizers: 
   AI:AT\, HammerHAI\, Gaia AI Factory\, ASC\, LRZ\, HLRS\, Cyfronet\, 
 OpenACC\, NVIDIAOpen Hackathons are multi-day\, hands-on coding events tha
 t help developers and researchers accelerate\, optimize\, and scale their 
 applications on a variety of data center architectures. Attendees work wit
 h dedicated mentors to identify and address data loading bottlenecks\, par
 allelize training\, and optimize AI pipelines for faster experimentation t
 o realize performance gains and speedups.The European AI Hackathon\, start
 ing 6 October and concluding 29 October 2026\, targets small and medium-si
 zed enterprise (SMEs)\, startups\, industry practitioners\, and researcher
 s across Europe building AI-driven products and services. Teams benefit fr
 om personalized\, expert guidance to take their AI workloads to the next l
 evel\, and access to leadership-class compute resources .Examples of AI pr
 ojects include:Agentic Contract Intelligence: Multi-agent pipelines that p
 arse\, risk-score\, and redline contracts across languages and jurisdictio
 nsReal-Time Energy Grid Balancing: Agentic systems running thousands of pa
 rallel simulations to autonomously balance distributed energy resources wi
 thin live decision windowsLegacy Code Modernization: Fine-tuning open-weig
 ht code LLMs on COBOL/Fortran codebases with long-context windows to enabl
 e enterprise migrationAutonomous Quality Inspection: Vision models running
  high‑FPS inference to detect defects on production linesPredictive Main
 tenance at Scale: Multimodal LLMs that integrate sensor logs\, manuals\, a
 nd historical failures to recommend interventionsThese projects are illust
 rations\, not constraints. Any AI workload that benefits from scaling\, sp
 eed-up\, and hands‑on expert guidance is welcome.Target audienceApplying
  teams should have a clear project that is ready to be further developed a
 nd scaled. Participating teams must be based in the EU and/or EuroHPC JU m
 ember countries. Please ensure that your team meets all prerequisites befo
 re you apply and use your company/institute email address in the applicati
 on form.Organizers                                 
   This hackathon is co-organized by Austrian Scientific Computing (ASC)\
 , the Leibniz Supercomputing Centre (LRZ)\, the High-Performance Computing
  Center Stuttgart (HLRS)\, the Academic Computer Centre Cyfronet AGH (Cyfr
 onet)\, OpenACC organization\, and NVIDIA for AI Factory Austria AI:AT\, H
 ammerHAI\, and Gaia AI Factory.AcknowledgementsAI Factory Austria AI:AT ha
 s received funding from the European High-Performance Computing Joint Unde
 rtaking (JU) under grant agreement No 101253078. The JU receives support f
 rom the Horizon Europe Programm of the European Union and Austria (BMIMI /
  FFG).\n\nhttps://events.asc.ac.at/event/307/
LOCATION:HYBRID
URL:https://events.asc.ac.at/event/307/
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