过去几十年，科学计算领域诞生了无数开源工具，却鲜有能「开箱即用」。深势科技Deploy-Master以执行为中心， 用自动化工作流一次性部署验证超5万个工具，为Agentic Science铺平道路。 过去几十年里，科学计算领域积累了数量空前的开源软件工具。 从生物信息学、化学模拟，到材料计算、物理仿真与工程设计，几乎每一个学科方向，都形成了自己的工具生态。在 GitHub等平台上，成千上万个代码仓库声称可以被用于科研实践。 2. 执行模拟程序； 3. 运行分析管线； 4. 处理真实数据。 但一个长期存在、却始终没有被系统性解决的事实是：绝大多数科学软件，停留在「被发布过」，而不是「可以直接 运行」的状态。 在真实科研实践中，我们往往需要花费数天甚至数周时间，反复解决编译失败、依赖冲突、系统不兼容等问题，才能 在本地「勉强跑通」一个工具。 这样的运行环境高度依赖个人经验，往往是临时的、不可移植的，也很难被他人复现或复用。每个研究者、每个实验 室，都在手工维护自己的运行环境，而不是在一个共享、可复现的执行基础设施之上开展工作。 这种模式带来的问题，并不只是效率低下。更关键的是，它在结构上限制了科学软件的三件事情 ...

机器之心发布 科学计算领域已经积累了数量空前的开源软件工具。从生物信息学、化学模拟，到材料计算、物理仿真与工程设计，几乎每一个学科方向，都形成了自己的 生态。在 GitHub 等平台上，成千上万个代码仓库声称可以被用于科研实践。 但一个长期存在、却始终没有被系统性解决的事实是： 绝大多数科学软件，停留在 "被发布过"，而不是 "可以直接运行" 的状态 。 在科研实践中，我们往往需要花费数天甚至数周时间反复解决编译失败、依赖冲突、系统不兼容等问题，才能在本地 "勉强跑通" 一个工具。这样的运行环 境高度依赖个人经验，往往是临时的、不可移植的，也很难被他人复现或复用。每个研究者、每个实验室，都在手工维护自己的运行环境，而不是在一个共 享、可复现的执行基础设施之上开展工作。 这种模式带来的问题，并不只是效率低下。更关键的是，它在结构上限制了科学软件的三件事情： 可复现性、大规模评估，以及系统性集成 。即便容器 化、云计算和 HPC 平台已经显著降低了算力门槛，这一 "部署瓶颈" 依然真实存在，并且长期制约着科学软件的可用性。 随着 AI for Science（AI4S） 的兴起，这一问题被进一步放大。在新的科研范 ...

Core Insights - Jinqiu Fund participated in a strategic financing round for the AI for Science startup "Deep Principle," focusing on breakthrough technologies and innovative business models in the AI sector [3] - "Deep Principle" emerged as one of the top three winners in the "Foreseeing New Product Research" track at the 2025 BIG BANG Beauty Tech Co-Creation Program, which had over 700 participating startups [3] - The founder and CEO of "Deep Principle," Dr. Jia Haojun, highlighted the transformative impact of AI on material research during a roundtable forum, emphasizing the balance of depth, speed, and budget in beauty formulation development [6][8] Investment Highlights - Jinqiu Fund's long-term investment philosophy is centered on identifying promising AI startups with innovative approaches [3] - The AI-driven platform ReactiveAI developed by "Deep Principle" enhances research efficiency by predicting and explaining the effects of ingredients on formulation performance, leading to quantifiable benefits such as reduced R&D cycles and lower costs [6] Industry Trends - The 2025 BIG BANG event showcased the importance of open innovation in the beauty industry, as emphasized by L'Oréal's global R&D executive, who noted that collaboration is key to driving disruptive solutions [8][9] - The integration of AI in material research is seen as a significant shift from discovery to rational design, indicating a future where AI continuously improves through experimentation [6]

Core Insights - The article discusses the emergence of startup companies in Shenzhen and the efficient channels available for them to gain exposure and attract investment, particularly through competitions and expos [3][4][5]. Group 1: Startup Competitions - The "Entrepreneur Star" competition has been a significant platform for startups, with past winners like DJI and others becoming industry leaders [3][5]. - The 2025 global finals of the "Entrepreneur Star" competition will take place on November 12-13, covering three continents and aiming to discover the next global stars [3][5][6]. - This year's competition has been upgraded to a global contest with a total prize pool of 100 million yuan, emphasizing its international reach and financial incentives [5][6]. Group 2: Technology Expos - The BEYOND Expo, Asia's largest technology expo, will feature a new sub-brand "XIN Summit" on November 15-16, providing startups with opportunities to connect with global investors [4][10][12]. - The 27th China International High-Tech Achievements Fair (High-Tech Fair) will take place from November 14-16, showcasing nearly 5,000 tech companies and attracting major international investment firms [4][13][15]. - The High-Tech Fair will implement a "136" plan to ensure a diverse range of buyers, including international and domestic procurement [13]. Group 3: Innovation Ecosystem - The article highlights the interconnectedness of various events, such as competitions, expos, and forums, creating a comprehensive innovation ecosystem in Shenzhen [4][15]. - The integration of startups with established financial institutions and investment firms is expected to accelerate the commercialization of innovative technologies [15][16]. - The establishment of the "AI for Science" initiative at Peking University aims to leverage AI in scientific research, further enhancing Shenzhen's role as a hub for innovation [18][19].