Group 1 - The Guangdong Provincial Two Sessions have commenced, with representatives focusing on high-quality development and enhancing public welfare [2] - Chen Jiao, Chairman and CEO of Jiadu Technology Group, presented multiple proposals aimed at fostering innovation and competitiveness in various sectors [2][3] Group 2 - The proposal titled "Innovative Institutional Supply to Activate Industry Ecosystem Construction with Global Competitiveness in Sci-Tech Innovation Special Zones" suggests establishing a Sci-Tech Innovation Special Zone in the Guangdong-Hong Kong-Macao Greater Bay Area, focusing on modern industries like AI and biomedicine [3] - The proposal "Strengthening the Autonomous and Controllable Digital Foundation to Empower Modern Industrial System Construction with Harmony Ecosystem" emphasizes leveraging the Harmony operating system to create a robust digital foundation and promote its application across industries [3][4] - The proposal "Promoting the Global Expansion of the Greater Bay Area Rail Transit Industry" aims to enhance international competitiveness by forming industry alliances and providing comprehensive solutions for rail transit [4] - The proposal "Strategic Layout of Space Computing Infrastructure to Explore New Intelligent Space Tracks" advocates for integrating space computing into new infrastructure planning, focusing on satellite manufacturing and intelligent computing [4]

Group 1 - Guangdong Province has officially entered the "Two Sessions" period for 2026, indicating a focus on regional development and policy proposals [1] - Chen Jiao, a member of the Guangdong Provincial Political Consultative Conference and Chairman of Jiadu Technology, presented multiple proposals at this year's sessions [1] - The proposals include establishing a "Science and Technology Innovation Special Zone" in the Guangdong-Hong Kong-Macao Greater Bay Area, creating a Hongmeng ecosystem cluster, promoting the export of the Greater Bay Area's rail transit industry, and developing new infrastructure for space computing power [1]