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IML4E – News

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IML4E Plenary in Budapest
Date: Wed., 19. June 2024
Last week we held the last official IML4E plenary meeting in Budapest. Our main focus whas the accomplishment of the final project task. Important topics were the preparation of the last project review and the organisation of a dissemination event, where we want to present the project results to the public.
Group photo at the plenary meeting in Budapest, October 2023
IML4E Plenary and other October events
Date: Mon., 16. Oct. 2023
Last week, the 6th plenary meeting of the IML4E project took place in Budapest. We were hosted by Budapest University and, as usual, had several events linked together.
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Exciting week for IML4E: plenary, meetup and review
Date: Mon., 19. June 2023
The IML4E project has had a very successful week. The week started with the project plenary at the University of Helsinki. The plenary is always a good chance to bring all project partner together and make progress especially with the cooperative parts of the project.
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The 4th IML4E Plenary in Darmstadt
Date: Wed., 29. Mar. 2023
Between 14.02. and 16.02.2023 the 4th plenary meeting of the international IML4E project took place. This time we were guests at Software AG in the peaceful town of Eberstadt near Darmstadt. The meeting was characterized by concentrated work addressing the progress related to the common results and innovations of the project.
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IML4E has reached its third milestone
Date: Thu., 26. Jan. 2023
With the completion of the deliverable IML4E-D4.2-Initial MLOps methodology and the architecture of the IML4E framework, the IML4E project has reached its third milestone. Accomplishing this milestone, we have defined an initial version of the IML4E framework. This includes methods, techniques and tools for efficient data preparation as well as for automation of activities in training, testing and deployment of models.
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IML4E Meetup series started in Budapest
Date: Tue., 15. Nov. 2022
Can we produce intelligent software the way the automotive industry produces vehicles? This question was posed by Nayur Khan, one of the speakers at the kick-off event of the lecture series initiated by the #IML4E project on the industrial application of machine learning and the potential of MLOps.
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Third physical IML4E Plenary in Budapest
Date: Thu., 10. Nov. 2022
This week the third physical plenary meeting of the IML4e project took place. We met with more than 20 people at the Budapest Technical University. We had fruitful discussions around our current main focus point the IML4E framework.
Projektreview News
IML4E successfully passed its first review
Date: Fri., 07. Oct. 2022
Last week, the IML4E project successfully passed its first review. After one year of hard work and good preparation, we were able to present our project innovations based on a solid market analysis.
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IML4E cooperates with IVVES
Date: Fri., 16. Sep. 2022
While IML4E develops methods and tools for the efficient implementation of MLOps in European industry, the IVVES project focuses on the development of systematic approaches for robust and comprehensive industry-grade V&V of "embedded AI" systems.
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IML4E has reached its second milestone
Date: Tue., 28. June 2022
After 13 months we have now, with some delay, reached our second project milestone in the IML4e project. The milestone includes the completion of a total of 4 technical deliverables, 3 of which are publicly available.
Second physical IML4E Plenary in Berlin
Second physical IML4E Plenary in Berlin
Date: Tue., 14. June 2022
Last week the second physical plenary meeting of the IML4e project took place. We met with more than 20 people in Berlin at Fraunhofer FOKUS. The discussions focused on the IML4E Framework and the IML4E Experimentation Platform, two project innovations that are jointly developed by all partners.
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Successful IML4E Plenary in Helsinki
Date: Thu., 31. Mar. 2022
Over the past three days, the first physical IML4E plenary meeting has taken place in Helsinki. After almost a year of project work under corona conditions, our three-day meeting allowed us to see how productive meetings can be when people actually sit face-to-face. We were able to enjoy three full days of exciting discussions about our case studies, their requirements and the technical solutions planned in the project, as well as the related research.
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IML4E Advisory Board successfully established
Date: Wed., 30. Mar. 2022
This afternoon the first Advisory Board meeting of the IML4E Project Advisory Board took place. The board is supposed to extend the reach of the project specifically in the software industry and to discuss the results of the IML4E project with selected stakeholders at an early stage.
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IML4E has reached its first milestone
Date: Tue., 15. Feb. 2022
After 8 months we have reached our first project milestone in the IML4e project. The milestone includes the completion of 8 deliverables of which 2 are publicly available.
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IML4E Online Plenary
Date: Fri., 11. Feb. 2022
In the last three days, after the kick off in autumn, the first plenary meeting of the IML4E project took place. Instead of the originally planned meeting in Helsinki, we had to settle for a virtual meeting this time.
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Initiation of further standardization activities
Date: Wed., 09. Feb. 2022
In the last two weeks Fraunhofer FOKUS and the German IML4E consortium have initiated further activities with regard to the exploitation of IML4E results in standardization. Participants from Siemens, Software AG, Spicetech and Fraunhofer FOKUS presented their research ideas and first results.
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Innovations and Objectives
  • Objectives
  • IML4E innovations
Case Studies
  • Basware
  • Granlund
  • Reaktor
  • Vitarex
  • Siemens
Results
  • MLOps monitoring platform
  • MLOps Framework 
  • Adversarial Test Toolbox
  • ML-Py-Stevedore
  • Data Quality Dashboard
  • ML Lineage
  • Mosquito data cleaner
  • MLOps Testing Methodology
  • Discrepancy Scaling for Unsupervised Anomaly Detection and Localization
  • Autonomously Adaptive Experimentation-Driven Pipeline
  • VALICY – a virtual validation system for AI/ML and complex software applications
  • SAGED: Error Detector for Tabular Data
  • Cost-effecient ML
  • ML Metrics Typology + AI Ethics Metrics
  • Calibrated confidence estimator
  • Inference scaling
  • Rare node co-activations in error detection
  • Continuous data monitoring and cleaning dashboard for smart meters
  • MLOps Maturity Assessment Scheme
  • Privacy-friendly Image Preparation for TinyML
  • Model cards toolkit
  • Pipeline Probe
  • Data Quality Evaluation Tool
  • OSS MLOps platform 
  • CABC for MLOps
  • Validation of pose estimation models
  • ML-Py-Stevedore
Resources
  • Conferences and Publications
  • Deliverables
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