Artificial intelligence in manufacturing

© Fraunhofer IPA

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Fraunhofer IPA has made artificial intelligence (AI) one of its key topics and has greatly expanded its consulting, funding and implementation services. These include feasibility studies, quick checks and workshops, as well as the development of complex technical manufacturing modules based on machine learning (ML).

Project formats range from short-term, compact studies on particular issues to long-term strategic cooperations. Further activities include lectures, training courses and publications.

Make the most of our expertise to add more value to your business!

Services and expertise

Modern factories use cognitive systems in almost all production phases.

AI Innovation Center – Learning Systems and Cognitive Robotics

Fraunhofer IPA is a member of Cyber Valley - one of Europe’s largest research collaborations in the field of AI.

Cooperation formats

We provide these formats so that you can exploit the potential of AI technologies.

Definitions

Brief explanations of the terms artificial intelligence, machine learning and deep learning.

Dependable AI

AI in critical applications must be verifiable, traceable and robust.

Reference projects

Here you will find some examples of research and industry projects and initiatives.

 

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 Date Event Lecture title / topic Speaker / exhibit Brief description Organizer
21. – 26.08.2021 30th International Joint Conference on Artificial Intelligence (IJCAI-21) A Survey on the Explainability of Supervised Machine Learning Prof. Dr. Marco Huber, Nadia Burkart International conference with virtual lectures and workshops on Artificial Intelligence.   IJCAI
21. – 26.08.2021 30th International Joint Conference on Artificial Intelligence (IJCAI-21) Benchmark and Survey of Automated Machine Learning Framework Marc Zöller, Prof. Dr. Marco Huber International conference with virtual lectures and workshops on Artificial Intelligence.   IJCAI
14.09.2021

AI in SMEs - identifying and implementing use cases

(in German)

 

Dr. Andreas Bildstein,

Tobias Eusterwiemann

The Fraunhofer IPA offers a webinar series on the application of AI in SMEs for the Mittelstand 4.0 Competence Centre Stuttgart. In it, the AI trainers of the Competence Center show you how you can achieve an increase in productivity in your company with the help of artificial intelligence. Mittelstand 4.0 Kompetenzzentrum Stuttgart
05.-07.10.2021 Data Scientist Specialized in Deep Learning (in German)   Prof. Dr. Marco Huber You will learn current machine learning and deep learning methods and deepen your knowledge in an application area. Fraunhofer-Allianz Big Data und Künstliche Intelligenz
12.10.2021

AI in SMEs - identifying and implementing use cases

(in German)

 

Dr. Andreas Bildstein,

Tobias Eusterwiemann

The Fraunhofer IPA offers a webinar series on the application of AI in SMEs for the Mittelstand 4.0 Competence Centre Stuttgart. In it, the AI trainers of the Competence Center show you how you can achieve an increase in productivity in your company with the help of artificial intelligence. Mittelstand 4.0 Kompetenzzentrum Stuttgart
19.10.2021 KI zwischen Mythos und Realität (in German) Potenziale und Grenzen des maschinellen Lernens in produzierenden Unternehmen Prof. Dr. Marco Huber How can social partners promote the introduction of "artificial intelligence" and algorithmic decision-making systems in the company in a design-oriented manner? How can the strengthening of design competence be facilitated? The workshop aims to provide answers to these questions for company users. Allianz Industrie 4.0 Baden-Württemberg
28.10.2021 Biointelligence Lecture Series (in German) Artificial Intelligence: Do Machines Learn Like Humans? Prof. Dr. Marco Huber The decisive challenge in the 21st century is to reconcile prosperity and resource consumption. Sustainable value creation without loss of prosperity requires production methods modeled on nature with the technologies of tomorrow: the Biological Transformation should make it possible. Württembergische Landesbibliothek
08.-10.11.2021 Data Scientist Specialized in Deep Learning (in German)   Prof. Dr. Marco Huber You will learn current machine learning and deep learning methods and deepen your knowledge in an application area. Fraunhofer-Allianz Big Data und Künstliche Intelligenz
16.11.2021

AI in SMEs - identifying and implementing use cases

(in German)

 

Dr. Andreas Bildstein,

Tobias Eusterwiemann

The Fraunhofer IPA offers a webinar series on the application of AI in SMEs for the Mittelstand 4.0 Competence Centre Stuttgart. In it, the AI trainers of the Competence Center show you how you can achieve an increase in productivity in your company with the help of artificial intelligence. Mittelstand 4.0 Kompetenzzentrum Stuttgart
23./24.11.2021

Cognitive Robotics (2021) (in German)   Kilian Kleeberger, M.Sc.

In the training you will acquire knowledge in different learning methods and their possible applications for learning robots based on numerous practical examples. The lectures are held in German and the course material is provided in English. Online Schulung
1.12.2021 Smarte Maschinen im Einsatz – effizient, sicher, nachhaltig mit KI (in German)
How do you make artificial intelligence robust, transparent and explainable?
Prof. Dr. Marco Huber
This conference will focus on what the technology can already do today and what opportunities and risks it poses for the industry.
Konradin Mediengruppe / Bild der Wissenschaft

 

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Press release March 2021

New AI applications for SMEs in Baden-Württemberg

AI expert Prof. Dr. Marco Huber in discussion

Science meets Fiction – AI in the SWR-Thriller 'Exit'

Press release November 2020

Fraunhofer IPA and HLRS start cooperation

Press release Ocotber 2020

AI makes it possible: Tomorrow's customer wishes, already planned today

Press release September 2020

Thanks to AI, robots are learning how to perform assembly tasks

Video

Keynote by Marco Huber at Nexcon

Source: Staufen.Digital Neonex/NEXCON

Podcast

“AI in Industry”

In the “Factory of Tomorrow” series, our AI experts present scenarios for using artificial intelligence in automation as well as current projects worked on by Fraunhofer IPA.

Annual report 2019, P. 21

AI is expected to induce a growth spurt four times higher than that of the steam engine

Book reviews on Artificial Intelligence and Machine Learning

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