[Development Case] AI Model Lightweighting in the Semiconductor Industry
AI model optimization in the semiconductor industry.
In March 2024, we performed optimization to adapt an AI model for a specific edge device for semiconductor-related company M. We implemented lightweight modifications to adapt it to a special device. This time, the device for inference required significant lightweight adjustments in terms of model size, so we started by reviewing the neural network architecture. After that, we performed quantization and pruning to make it adaptable to the specific device. As a result, we achieved a model that meets the speed and data capacity requirements for the specific device. *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.