Analysis using AI on biological information.
In 2022, we conducted analysis on information obtained from domestic companies' biological devices. From research on time-series data to the construction of an inference system. This time, since the subject was time-series data, we selected journals and conferences that corresponded to it and chose an appropriate Neural Network model architecture from those papers. Furthermore, we implemented the model, conducted training and evaluation, built the inference system, and visualized the results. Visualizing the results. Time-series data is difficult to visualize, but without appropriate visualization, evaluating the results becomes challenging. This time, we employed several methods to creatively visualize the data. *For more details, please refer to the related links or feel free to contact us.*
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Our company is engaged in various artificial intelligence-related businesses, including artificial intelligence development, artificial intelligence consulting, artificial intelligence seminars, and artificial intelligence application development. Since 2013, we have shifted to Deep Learning, working on improvements to CNNs and RNNs, and by 2015, we developed our own model using RNNs. Additionally, starting in 2016, we expanded our focus to deep reinforcement learning, developing numerous simulation models and robot models. Please feel free to contact us if you have any inquiries.
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