Analysis
This article highlights the crucial role of data preparation in the world of AI, particularly for CAE engineers. It emphasizes that the quality of data is just as important as the model itself, likening it to the importance of mesh quality in traditional CAE simulations. This focus on data hygiene opens up exciting possibilities for more accurate and reliable AI-driven simulations.
Key Takeaways
Reference / Citation
View Original"AIがバカな予測をするとき、9割は「データ」が悪い"