Core Points - Shanghai has released measures to support enterprises in enhancing basic research and promoting high-quality development, focusing on financial subsidies, funding matching, and tax incentives [1][2] - The measures aim to strengthen the role of enterprises in technological innovation and increase their investment in basic research [1][2] Financial Support - Enterprises investing over 100 million yuan annually in basic research will receive a one-time financial subsidy of 10 million yuan; those investing between 50 million and 100 million yuan will receive 5 million yuan; and those investing between 10 million and 50 million yuan will receive 2 million yuan [2] - Support for the establishment or donation to basic research public welfare funds is also included, with a matching support of 50% of the fund's investment for projects supported in Shanghai [2] National and Local Initiatives - The Shanghai State-owned Assets Supervision and Administration Commission has established the Shanghai Qiyuan National Assets Innovation Fund, the first public welfare fund for basic research initiated by national assets [3] - The fund focuses on supporting basic and applied research with disruptive potential, particularly in strategic areas like chips and quantum technology [3][4] "Explorer Program" - The Shanghai Municipal Science and Technology Commission has launched the "Explorer Program" to attract more leading technology enterprises to participate in basic research [5][6] - The program aims to convert engineering challenges faced by industries into basic scientific problems, facilitating collaboration between enterprises and research institutions [6][7] - The program has expanded from 2 to 22 cooperating enterprises, covering various fields such as integrated circuits and biomedicine [6] Collaboration and Innovation - The "Explorer Program" encourages enterprises to focus on key research issues and guide local research teams in targeted basic research, promoting a collaborative approach [7] - The measures also empower enterprises with greater decision-making authority in basic research and support the sharing of scientific instruments and facilities [7]

Core Viewpoint - The establishment of the Qiyuan Public Welfare Foundation marks a significant step in Shanghai's efforts to foster original technology and support groundbreaking basic research through collaboration among 16 state-owned enterprises [3][5]. Group 1: Foundation Overview - The Qiyuan Public Welfare Foundation is the first basic research public welfare foundation initiated by state-owned enterprises in China, focusing on funding forward-looking and disruptive basic research and its related transformation [1][7]. - The foundation is managed by the Shanghai State-owned Assets Supervision and Administration Commission and involves contributions from major state-owned enterprises such as Shanghai International Group and Shanghai Guosheng Group [5][7]. Group 2: Focus Areas - The foundation will concentrate on four key areas: 1. Addressing critical national strategic needs and supporting innovative projects with disruptive potential [7]. 2. Exploring cutting-edge fields such as quantum technology and brain science, particularly in high-risk and controversial projects [7]. 3. Facilitating the transformation of research into industry by connecting various resources, including incubators and research institutions [7]. 4. Supporting young talent in innovative research through early-stage funding [7]. Group 3: Research Demand Announcement - The foundation announced 20 basic research demands covering areas such as immunotherapy, protein quantification technology, AI drug design, and computational resource scheduling [10][14]. - The first batch of research topics includes studies on stem cell-like T cells in tumors, AI-based drug molecule design, and high-throughput low-temperature electrolysis of carbon dioxide [13][14]. Group 4: Collaborative Efforts - The foundation has signed cooperation framework agreements with partners including Fudan University and Shanghai Jiao Tong University to enhance collaborative research efforts [14].

Core Viewpoint - The article emphasizes the importance of brain health in children and provides nine methods to enhance cognitive development, counteracting the negative effects of excessive screen time and low-quality content exposure [3][5][105]. Group 1: Importance of Physical Activity - Physical exercise is crucial for brain development, as it promotes the secretion of brain-derived neurotrophic factor, enhancing cognitive functions [9][10]. - Suggested activities include morning runs, playing ball games after meals, stretching before bed, and cycling in the neighborhood [13][14][18]. Group 2: Nutritional Needs - The brain consumes about 25% of the body's energy, making proper nutrition essential for cognitive function [21]. - Recommendations include a balanced breakfast, diverse lunch, quality protein for dinner, avoiding trans fats, and consuming Omega-3 rich foods [25][26][29]. Group 3: Importance of Sleep - Adequate sleep is vital for brain detoxification and function; poor sleep can lead to cognitive decline [32][34]. - Tips for better sleep include setting a family bedtime, avoiding screens in the bedroom, and creating a conducive sleep environment [36][40]. Group 4: Managing Screen Time - Parents should actively manage children's screen time to prevent addiction and promote healthier habits [45][46]. - Suggestions include setting rules for phone use, engaging children in meaningful activities, and reducing exposure to social media [47][49]. Group 5: Emotional Well-being - Negative emotions can lead to cognitive impairment, while positive emotions enhance memory and brain sensitivity [54][56]. - Parents are encouraged to adopt a supportive approach, focusing on acceptance, trust, encouragement, empathy, guidance, and patience [58][62]. Group 6: Reading and Learning - Reading is likened to nourishment for the brain, enhancing cognitive connections and knowledge acquisition [66][68]. - Recommended reading materials span various genres, including literature, science, and emotional intelligence [72][76]. Group 7: Engaging with Documentaries - Documentaries can provide children with insights and knowledge that traditional education may not offer [74][76]. - A list of recommended documentaries is provided to broaden children's perspectives and understanding of life [78][84]. Group 8: Discovering Interests - Engaging in hobbies can lead to a state of flow, enhancing focus and enjoyment [88][90]. - Suggestions for activities include music, art, crafts, baking, programming, and writing [90][94]. Group 9: Social Interaction through Games - Interactive games promote brain development through social engagement, as opposed to solitary screen time [97][99]. - Recommended games include team sports, intellectual challenges, creative collaborations, and scientific experiments [100][104].

Group 1 - Xu Xiangmin has been appointed as the Vice Secretary of the Party Committee and President of Foshan University, ending a four-year vacancy in the president position since May 2021 [1] - Xu Xiangmin has a strong academic background, holding a PhD in engineering and has been involved in various leadership roles at South China University of Technology [1] - His research focuses on artificial intelligence, cross-modal emotional computing, and brain science, with significant contributions to national research projects [1] Group 2 - Foshan University, formerly known as Foshan Science and Technology Institute, was approved for its name change in 2024 and is recognized as a high-level university in Guangdong Province [2] - The university currently has two doctoral degree authorization points and six disciplines ranked in the top 1% globally according to ESI [2] - Xu Xiangmin previously acknowledged Foshan University's achievements and called for collaboration between the two universities during a name change ceremony [2]

Core Viewpoint - The article discusses the evolution of artificial intelligence (AI) and its intersection with brain science, emphasizing the importance of large models and the historical context of AI development, particularly during its "winters" and the lessons learned from past mistakes [5][18][27]. Group 1: Historical Context of AI - AI experienced significant downturns, known as "AI winters," particularly from the late 1990s to the early 2000s, which led to a lack of interest and investment in the field [2][3]. - Key figures in AI, such as Marvin Minsky, expressed skepticism about the future of AI during these downturns, influencing others like Liu Jia to pivot towards brain science instead [3][14]. - The resurgence of AI began around 2016 with breakthroughs like AlphaGo, prompting a renewed interest in the intersection of brain science and AI [3][14]. Group 2: Lessons from AI Development - Liu Jia reflects on his two-decade absence from AI, realizing that significant advancements in neural networks occurred during this time, which he missed [14][15]. - The article highlights the importance of understanding the "first principles" of AI, particularly the necessity of large models for achieving intelligence [22][27]. - Liu Jia emphasizes that the evolution of AI should not only focus on increasing model size but also on enhancing the complexity of neural networks, drawing parallels with biological evolution [24][25]. Group 3: Current Trends and Future Directions - The article discusses the current landscape of AI, where large models dominate, and the importance of scaling laws in AI development [27][30]. - It notes the competitive nature of the AI industry, where advancements can lead to rapid obsolescence of existing models and companies [36][39]. - The article suggests that future AI development should integrate insights from brain science to create more sophisticated neural networks, moving beyond traditional models [25][50].

Core Viewpoint - The article explores the extreme anti-aging regimen of Bryan Johnson, a Silicon Valley billionaire, who spends $2 million annually on a team of doctors to pursue his "Blueprint" for longevity, claiming to have reversed his biological age by 5.1 years [5][15][19]. Group 1: Bryan Johnson's Anti-Aging Practices - Bryan Johnson maintains a daily routine that includes extreme dietary restrictions, such as consuming no more than 2,000 calories and following a strict vegan diet [12][14]. - He employs various health monitoring techniques, including blood tests and body measurements, to track his biological markers, aiming to be the slowest aging person in the world [33][34]. - Johnson's regimen includes the use of numerous supplements and medications, initially taking 110 pills daily, which he has since reduced to 35 [31][36]. Group 2: Public Perception and Media Strategy - Johnson has embraced a public persona, leveraging social media to share his anti-aging journey, which has garnered significant attention and a growing following [39][41]. - His philosophy, encapsulated in the slogan "Don't Die," aims to inspire others to adopt healthier lifestyles and embrace technological advancements in health [42][44]. - The article highlights the contrast between Johnson's extreme lifestyle choices and the more conventional approaches to health and longevity, raising questions about the sustainability and practicality of his methods [15][19][45]. Group 3: Scientific and Medical Community Response - The medical community has expressed skepticism regarding Johnson's aggressive approach to anti-aging, with some experts warning that the multitude of interventions may not yield clear results [34][36]. - Despite the criticism, Johnson remains committed to his regimen, emphasizing data-driven results over anecdotal evidence [34][36]. - The article discusses the potential risks associated with his practices, including adverse reactions to treatments and the psychological impact of his extreme lifestyle [16][18].

Core Insights - The research led by Professor Luo Qingming from Hainan University and the Huazhong University of Science and Technology has successfully created a three-dimensional brain atlas of mice with a precision of 1 micron, providing a crucial tool for understanding brain science [2][3] - The findings were published in the international academic journal "Nature," marking a significant breakthrough in global brain science research [2][3] Research Methodology - The research team developed a method for Nissl staining and resin fixation of the entire mouse brain, transforming it into a transparent "crystal brain" to capture detailed images of brain cell structures [2] - A total of 14,000 coronal sections, 11,400 sagittal sections, and 9,000 horizontal sections were obtained, resulting in sub-micron resolution images of the entire mouse brain [2] Findings and Applications - The team delineated and labeled a three-dimensional adjustable map of 916 brain regions, including 236 newly discovered subregions, revealing unknown neural connectivity networks [3] - This brain atlas serves as a precise "brain Lego model," significantly enhancing the understanding of normal brain functions and dysfunction mechanisms in various diseases, including Alzheimer's disease, epilepsy, and depression [3]

Core Insights - A breakthrough research achievement by a team led by Professor Luo Qingming from Hainan University has resulted in a three-dimensional brain atlas of mice, published in the journal Nature, achieving unprecedented precision of 1 micron [1][3] Group 1: Research Methodology - The research utilized a self-developed microscopic optical sectioning tomography technique to transform mouse brains into transparent "crystal brains," capturing 14,000 coronal sections, 11,400 sagittal sections, and 9,000 horizontal sections, all at sub-micron resolution [3] - The number of images obtained in three standard anatomical orientations is two orders of magnitude higher than traditional anatomical atlases, allowing for clear differentiation of individual cells and tissue characteristics [3] Group 2: Findings and Contributions - The team constructed a three-dimensional mouse brain reference atlas with isotropic 1-micron resolution, delineating and labeling 916 brain regions, including 236 newly named subregions [3][4] - The three-dimensional boundaries of these brain regions are continuous and seamless, eliminating gaps and blank areas, thus creating a highly detailed "spatial navigation map" of the brain [3] Group 3: Future Implications - The research team has established a visualization and sharing platform for the atlas data, promoting public access and cloud computing services, which will facilitate the dissemination of neuroscience knowledge and research [4] - This mouse brain atlas is expected to provide powerful research tools and new perspectives for studying mammalian brain development and evolution, potentially leading to significant advancements in the field [4]

Market Overview - The market experienced a rebound with the ChiNext Index leading the gains. The military industry sector saw significant growth, with over 20 stocks including Changcheng Military and Hunan Tianyan hitting the daily limit. The stablecoin concept also surged, with stocks like Hopu Co. and Xiexin Energy reaching their limits. Brain-computer interface stocks rose, with Xiangyu Medical and Innovation Medical hitting the limit. Overall, more than 4,000 stocks in Shanghai and Shenzhen markets were in the green, with a total transaction volume of 1.51 trillion [1]. Hot Topics Military Industry - The military sector continued its upward trend, with stocks like Changcheng Military, Feiyada, and Zhongguang Defense hitting consecutive limits. Hunan Tianyan and Beifang Navigation also saw significant rebounds [4]. RWA (Real World Assets) - The RWA sector experienced substantial gains, with stocks like Hopu Co. and Hangzhou Garden hitting their limits. The market is witnessing a rapid growth of RWA ecosystem participants, including issuers, custodial banks, and investors, which may present investment opportunities in asset operation, banking IT, and cross-border payments [6][8]. Brain Science - The brain science sector saw significant increases, with stocks like Rongtai Health and Innovation Medical hitting their limits. Recent developments from Neuralink, including clinical trials for brain-computer interfaces, have generated excitement in the market. The brain-computer interface market in China is projected to reach 3.2 billion by 2024 and exceed 5.5 billion by 2027, with global applications expected to reach between 40 billion to 145 billion by 2030-2040 [9][10][11].

Group 1 - Beijing has achieved significant progress in building a global digital economy benchmark city, particularly in key areas such as artificial intelligence, brain science, and embodied intelligence, with 132 large models registered, accounting for nearly 35% of the national total [1] - The city has established 14.12 million 5G base stations, with an average of over 64 stations per 10,000 people, ranking first in the country [2] - Beijing's AI sector includes over 2,400 companies, generating core industry revenue exceeding 350 billion, with applications in education, healthcare, and transportation [2] Group 2 - The "North Brain No. 1" brain-machine system has successfully completed the world's first human implantation of a flexible high-throughput semi-invasive wireless brain-machine system, now entering clinical validation [1] - The city is focused on accelerating digital technology innovation, supporting the establishment of digital technology innovation consortia, and advancing key areas such as AI, blockchain, brain-machine interfaces, quantum information, and advanced new materials [3] - Beijing aims to deepen the construction of a data factor market and support the Beijing International Big Data Exchange in reforming its institutional mechanisms [3]