The leader was a young man named Lin Feng, only thirty-five years old, yet he had served as a core researcher at both Google Brain and DeepMind, and was a top expert in the field of AI for scientific discovery. What he brought wasn't specific code or functional modules, but a grand vision for a novel "next-generation intelligent scientific research data platform" based on cloud-native, microservices architecture, and data lake concepts.
"President Zhang, we can no longer be content with passively developing isolated data conversion interfaces and drivers for each different brand and model of equipment as we did in the past." Lin Feng sketched a complex architecture diagram rapidly on the whiteboard in the meeting room, his eyes shining with the unique fervor of a tech geek, "That's just treating the symptoms, not the root cause. What we need to build is a unified, intelligent, scalable, and future-oriented 'scientific research operating system' or 'digital base'!"
