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Non-linear predictive control and image recognition solutions using deep learning.

Predicting nonlinear control with Transformers, high-precision recognition through segmentation.

At Neorium Technology, we support model-based development using control technology and machine learning. This content introduces cases involving the construction of predictive models for nonlinear control targets using deep learning models such as "Transformer" and "LSTM," as well as high-precision image recognition (semantic segmentation). We can predict future behaviors of control targets with time delays and complex nonlinearities through time series learning, even handling phenomena that are difficult to model. Additionally, in image recognition, we accurately identify targets even in complex backgrounds using segmentation with Mask2Former, making it applicable in industrial and autonomous driving fields. We also support integration with control system design and experimental data analysis based on Python + TensorFlow and PyTorch. If you are interested, please contact us through our website. https://www.neorium.co.jp/contact-us/

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