At the front lines of biological fermentation, architectural design, and even wastewater treatment, a group of special "new employees" is quietly changing the logic of traditional manufacturing. They are not sweat-drenched blue-collar workers, but industrial time-series control large models known as "AI Masters" — ManuDrive.

Recently, a scientific research achievement from the Artificial Intelligence and Microstructure Laboratory (AIMS Lab) at Shanghai Jiao Tong University has attracted industry attention. A technology company founded by Professor Li Jinjin is trying to bring AI from simple text generation and image processing into the oily and noisy factory workshops. Unlike well-known chatbots, this "AI Master" excels in generating "time-series industrial production curves," dynamically optimizing production processes through closed-loop control.

This technological transformation has already shown promising results in the biopharmaceutical field. For example, in Chuanning Bio's fermentation project, traditional manual experience often struggled to achieve precise temperature and pressure control for fermentation tanks that can hold hundreds of tons with extremely complex metabolic processes. After nine months of on-site research, the research team trained an AI model that can predict fermentation dynamics 180 hours in advance, with an accuracy of 99.9%. Under the real-time intervention of AI, the average yield of fermentation tanks increased by 3% to 5%, while production fluctuations were reduced by half.

Beyond biomanufacturing, the application scope of the "AI Master" is rapidly expanding into multiple fields. In heavy industries, the AI artisan can generate a single CAD drawing in just 3 seconds; in architectural design, AI-assisted steel tower parameter design has improved production efficiency by more than 85%. From tool management and textile pattern making to smart scheduling, the large model is becoming a versatile "all-round engineer."

To solve the "last mile" challenge of AI deployment, a new talent development model called FDE (Frontier Deployment Engineer) has emerged in Shanghai. These engineers no longer sit in laboratories for long periods but instead work directly in factory workshops, adjusting models based on actual business flows. This "Shanghai R&D, nationwide empowerment" model not only ensures enterprise data security but also allows AI technology to continuously evolve in real industrial scenarios, much like a living organism, through ongoing feedback and iteration.

Currently, this artificial intelligence platform has been implemented in dozens of listed companies, creating economic benefits of tens of millions of yuan. With the promotion of the "AI + manufacturing" implementation plan, this deep industrial technology is becoming a key force driving the transformation and upgrading of manufacturing, giving traditional factories new vitality in the digital wave.