Core Viewpoint - The meeting in Shenzhen's Guangming District aims to promote high-quality development in the brain science and brain-machine engineering industry through collaboration among government, academia, and enterprises [1][8]. Group 1: Industry Development Initiatives - Guangming District is committed to creating an innovative hub for the brain science industry by optimizing policies, enhancing resource support, and deepening open cooperation [1][3]. - The district has established significant technological infrastructure for brain analysis and simulation, introduced the first specialized policy in the brain science sector, and set up a 1 billion yuan brain science industry fund [3][5]. - A 1.6 million yuan Shenzhen Blue Ocean Smart Brain Seed Fund has also been initiated to empower industry development [3]. Group 2: Collaborative Mechanisms - Guangming District has partnered with the Shenzhen Brain Science Society to create the "Guangming Brain Science Innovation Circle," which integrates researchers, clinical experts, industry specialists, and investment representatives into a collaborative framework [3][5]. - This collaboration aims to accelerate the establishment of a core cluster for the national brain science industry [3]. Group 3: Insights from Experts - Experts shared insights on the current state, technological frontiers, and future trends in the brain science industry, providing valuable references for Guangming District's strategic planning [5][8]. - Investment opportunities and challenges in the brain science sector were analyzed, emphasizing the integration of capital and technology to empower industry growth [5]. Group 4: Company Innovations - Companies like Shenzhen Delik Medical Electronics focus on AI development to enhance the functionality of neuroelectrophysiological products, aiming for domestic substitution in this field [6]. - Baying Technology (Shenzhen) aims to overcome traditional imaging technology limitations to provide reliable technical means for "nuclear medicine" research, facilitating early and precise diagnosis of brain metabolic diseases [6].