MetAI
Renton Hsu serves as the Chief Technology Officer at MetAI Technology Co., Ltd. since November 2022, bringing over 11 years of experience in 3D, data science, and AI. With a strong background as an AI Engineer at the Artificial Intelligence Foundation and AI Scientist at Taiwan AI Academy, Renton focuses on digital transformation solutions and AI education for large corporations. Previous roles include Data Scientist at CAMEO, where Renton led significant data science projects, and Full-stack Developer at Kaohsiung Medical University. Renton's education at Vancouver Film School equipped with skills in 3D generalism and rigging further enriches a diverse professional portfolio. Additionally, Renton is a certified lecturer from the Industrial Technology Research Institute and NVIDIA DLI, emphasizing a commitment to promoting AI and innovative technology education.
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MetAI
Founded in 2023 and a member of the NVIDIA Inception Program, MetAI leverages its proprietary 'MetSynthesizer Generative Algorithm,' combining AI and 3D technology to create AI solutions specifically designed for smart manufacturing, smart logistics, and industrial digital transformation. Starting from data collection and analysis, we use our self-developed Generative Model in a 3D virtual environment to generate synthetic data that fully meets production line and industry requirements. By establishing realistic digital twin environments that accurately simulate real-world conditions, industries can optimize their processes and smoothly transition from simulation to real-world applications. By integrating synthetic data and digital twins, we significantly address two major bottlenecks in the manufacturing industry's journey toward Industry 4.0: data insufficiency and simulation integration. Our vision is to utilize digital twins, synthetic data, and generative models to realize Real-to-Sim and Sim-to-Real transitions. Whether for defect detection, smart factories, or solution validation, MetAI's technology can significantly reduce wasted human resources, shorten validation times, and provide better solutions by introducing generative AI.