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Generation System - List of Manufacturers, Suppliers, Companies and Products

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[Development Case] Research and Development of AI Systems for Beauty Devices

Research and development of an AI system to be incorporated into beauty devices for domestic company H.

From 2019 to 2023, we conducted research and development on an AI system to be integrated into beauty devices for Company H in Japan. This time, since there were no usable existing data, we started from data generation. We created an annotation tool and performed the annotation. Furthermore, we conducted research, implemented models, trained and evaluated them, reduced model size, and built an inference system. Due to the operational requirements of the hospitals using the devices, the allowed inference time per image was a few milliseconds. To achieve this, we carefully considered the architecture of the Neural Network and assembled an architecture that is ultra-fast yet reasonably accurate. The Neural Network architecture itself was made lightweight, but further reduction in size was necessary to meet the inference time on edge devices. Therefore, during the deployment phase, we performed pruning, distillation, and quantization. This allowed us to meet the required inference time. *For more details, please refer to the related links or feel free to contact us.*

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[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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Web Farmer Inc. Company Profile

Leave it to us for anything related to the joint development and joint research of AI systems!

Web Farmer Inc. is engaged in the contracted development and joint research of AI systems, as well as the development of its own AI solutions. We have numerous publications, including the GAN Deep Learning Implementation Handbook and various other books related to artificial intelligence and data analysis, for which we have provided supervision and reviews. Please feel free to contact us when you need our services. 【Business Activities】 ■ Contracted development and joint research of AI systems: AIFARM ■ Development of in-house AI solutions: FAMMAL *For more details, please download the PDF or feel free to contact us.

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AI Farm

We will solve problems using AI.

"AI Farm" is our brand that solves customer challenges with AI. Depending on the customer's situation, we conduct research on papers, data creation, annotation, model design, implementation, training, evaluation, model optimization, building inference systems, and app visualization. Additionally, if customers are unsure about what kind of system to use or want to implement advanced systems, we can also get involved from the research stage. [Achievements] ■ Tracking and individual identification of objects ■ Analysis using medical data ■ Analysis of time series data *For more details, please feel free to contact us.

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[Development Case] Research and Development of AI Systems for Home Appliances

Research and development of AI systems to be incorporated into home appliances for domestic company I.

From 2021 to 2023, we conducted research and development on an AI system to be integrated into home appliances for Company I. We developed everything from annotation tool creation to inference system construction in a consistent manner. This included creating the annotation tool, performing annotations, conducting research, implementing models, training and evaluation, model optimization, building the inference system, and converting it for edge devices. We conducted research and implementation tailored to a specialized neural network architecture. The current neural network processes video and time-series data as input, so we researched models that accommodate this and implemented them based on past examples. We visualized the inference results. Since this development was at the POC stage, we sent the internal inference results to another computer and displayed the results in an easily understandable manner. This made debugging and improvements easier. *For more details, please refer to the related links or feel free to contact us.*

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Web Farmer Inc. Development Achievements

We are engaged in research and development of anomaly detection models for food manufacturers, as well as beauty AI and robot AI!

We would like to introduce the development achievements of Web Farmer Inc. In 2015, we developed our own deep learning framework called "DeepFarm," and in 2016, we researched and developed Double-DQN for deep reinforcement learning. In 2017, we conducted research and development on AI for real estate price prediction aimed at the real estate sector, as well as on animal behavior classification models. In 2024, we are conducting research and development on AI for medical ventures, and in 2025, we are also working on the research and development of systems using LLM. 【Development Achievements (Partial)】 ■ 2024: Research and development of a system using Local-LLM ■ 2024: Development of image generation AI ■ 2024 onwards: Research and development of AI for medical ventures ■ 2025 onwards: Development of systems using LLM ■ 2025: Research and development of systems using LLM *For more details, please download the PDF or feel free to contact us.

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