Core Viewpoint - The article highlights the 16th season of the Zhangjiang High-tech 895 Startup Camp, focusing on artificial intelligence and intelligent computing, showcasing 21 innovative companies in the field and preparing for the upcoming Demo Day event to present the most promising projects [1]. Group 1: Event Overview - The theme of the event is "Connecting the Future, Driving the Chip Ecosystem," emphasizing the importance of AI and intelligent computing [1]. - The camp has organized various activities since its launch in May, including opening ceremonies, classes, industry salons, and entrepreneurial journeys, leading up to the anticipated Demo Day [1]. Group 2: Featured Startups - Jiangyuan Chip Technology (Shanghai) Co., Ltd. focuses on the development of domestically produced AI chips and intelligent computing platforms, having successfully mass-produced China's first fully domestically developed AI model computing chip, addressing the "bottleneck" issue in AI chips [5]. - Shanghai Yunmai Chip Technology Co., Ltd. is a leading company in high-performance network interconnection chips, with its self-developed YSA-100 chip already released and performing well in customer tests, contributing to China's intelligent computing infrastructure [6]. - Beijing Chaoxing Future Technology Co., Ltd. provides high-efficiency AI computing solutions for edge intelligence scenarios, with its "Jingzhe" R1 chip already in mass production and R2 expected to launch in 2025 [8]. - Yingwei Chip (Shanghai) Technology Co., Ltd. specializes in optoelectronic integration technology, offering high-performance solutions for data center optical interconnects, enhancing data transmission efficiency while reducing system energy consumption [9]. - Ningbo Yunjin Micro Intelligent Technology Co., Ltd. focuses on the application of large model technology in embodied intelligence, with a management team from top institutions like Zhejiang University and Alibaba [10]. - Yanchip Micro (Shanghai) Co., Ltd. specializes in ReRAM technology, focusing on embedded IP, independent storage, and storage-computing integrated chips for edge AI inference [12].