中国智造跃迁，硬科技创业需要“工程化”动能

Core Insights - The demand for credible, verifiable, and deployable engineering capabilities is increasing as China's manufacturing industry transitions towards high-end and intelligent development [1][4] - SISPARK has partnered with MathWorks to support startups in AI, industrial, and medical sectors by providing toolchains and technical support [1][4] - The collaboration signifies a shift in SISPARK's service offerings, extending into the "tool layer" to meet the growing needs of high-tech startups [4] Industry Trends - The engineering capability gap is a hidden bottleneck for high-tech startups, which now primarily possess core technologies but lack funding, personnel, and market access [3] - The rise of embedded AI applications is anticipated to begin in 2026, highlighting the challenges of integrating AI into embedded systems, particularly regarding explainability and compliance [3][4] - The automotive industry serves as a case study for the shift towards self-innovation and R&D, driven by policy requirements for software self-research in key components [4] Emerging Sectors - Low-altitude economy and medical devices are identified as rapidly growing sectors, with the potential to rival the automotive industry in scale [5] - The humanoid robotics field is emerging as a new growth point, leveraging capabilities developed in the automotive sector for complex system modeling and simulation [5][6] - All these sectors are characterized by high safety and reliability requirements, emphasizing the need for stronger engineering capabilities as China's industry upgrades [6]