[Development Case] Development of a Chemical Sensor Inference System
Research and development of inference systems using chemical sensors.
In July 2022, we conducted research and development of an inference system using chemical sensors for domestic companies. From research to iPhone app development. This time, we started with literature research, followed by model implementation, training and evaluation, and the construction of the inference system, culminating in the app development for iPhone. We built a logic based on chemical research. This time, we dealt with substances in the AI industry that are considered a specialized field, specifically chemical sensors. Since there were no precedents for the inference model based on the output values, we thoroughly researched chemical literature and implemented a model that is chemically valid and highly explainable. We switched from Dart to Swift. Initially, the iPhone app was developed using the Dart programming language and Flutter. However, it became clear that some essential features could not be realized with Flutter, so we quickly switched to Swift. This allowed us to implement all the required features in the app. *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.