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Removing unwanted bias
Making your data match the real-world data of your use-case is crucial for training a robust machine learning model. This post shows you how to interactively curate your data to adapt your data in an informed manner.
Daniel Klitzke
16. Februar 2022
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3 min read
Matching vibroacoustic test and simulation data with machine learning
Stefan Suwelack
15. Februar 2022
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5 min read
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How to quickly find and correct label errors
Ensuring label consistency is critical for building robust machine learning models. This post shows you how to achieve label consistency in a data centric way.
Daniel Klitzke
3. Februar 2022
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2 min read
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Training an acoustic event detection system using Renumics Spotlight
Machine Learning based systems for acoustic event detection typically require a vast amount of training data. Intelligent labeling techniques open up new possibilities for small data scenarios.
Daniel Klitzke
22. Dezember 2021
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5 min read
cadcae
How data-centric ML helps to build reliable models fast
ML researchers typically iterate different model architectures on a fixed dataset that they often know very little about. In real use cases, it is often a good idea to focus most efforts on the data and not on the model.
Stefan Suwelack
9. Dezember 2021
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8 min read
cadcae
Data-centric AI for Engineering and Manufacturing
Data-centric machine learning is an emerging paradigm. Is this a game-changer for ML in engineering and manufacturing?
Stefan Suwelack
22. November 2021
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4 min read
cadcae
The AI-assisted Engineering Canvas
Data-driven methods have arrived and promise to speed up product development. The AI-assisted Engineering Canvas helps to get started.
Stefan Suwelack
30. August 2021
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8 min read
cadcae
What is AI-assisted Design?
Generative ML methods have achieved tremendous success in image and audio processing. Can mechanical engineers benefit from this technology?
Stefan Suwelack
16. September 2020
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6 min read
cadcae
Use Cases for AI-assisted Engineering
During the next decade, machine learning will become an indispensable tool for engineers. But where can the technology provide the most value today?
Stefan Suwelack
24. Februar 2020
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6 min read
cadcae
What is AI-assisted Engineering ?
Engineers spend a lot of time on manual routine tasks. Novel machine learning techniques promise to change that.
Stefan Suwelack
30. Januar 2020
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5 min read