新紫光集团董事、联席总裁陈杰：我国有移动互联网时代的成功经验，最有能力做好AI应用创新

Core Insights - The discussion highlights the challenges faced by China in developing its AI industry, emphasizing the need for innovative approaches rather than merely following international trends [1][4] - The importance of breakthroughs in key technologies such as Transformer architecture and Chain of Thought (COT) technology is underscored [1] - The semiconductor industry in China is currently limited to a 7nm process, necessitating innovations in system and chip architecture to close the gap with foreign high-performance chips [4] Group 1 - The focus should be on innovations in system and chip architecture, such as 3D stacking and integrated storage-computing solutions, to mitigate the widening gap with foreign technology [4] - Emphasis on developing edge AI technology, which is less reliant on advanced manufacturing processes and can leverage China's strengths in R&D and application understanding [4] - Traditional applications of edge AI include translation, speech recognition, and object detection, while emerging applications encompass smart driving, service robots, and intelligent scene perception [4] Group 2 - China's success in the mobile internet era positions it well for AI application innovation, suggesting that the country can leverage its experience to reconstruct various fields with AI [4] - A recommendation is made to focus on vertical industry AI applications, tailoring development to specific industry characteristics and needs to drive practical AI technology advancements [4]