Code Moment | 2022 ZGC Forum Series — AI for Science: Co-Creating the Future, Now Open with Multiple Academicians
From **August 8 to August 11**, the 2022 Zhongguancun Forum series event — the AI for Science Summit — was held **online**. This year's summit carried the theme "**AI for Science: Co-Creating the Future**" and featured **one main forum and six thematic sub-forums**. Multiple academicians, scholars, researchers, and entrepreneurs delivered **over 50** top-tier presentations, interpreting cutting-edge topics from diverse perspectives.
#MaKe Key Updates from Source Code Capital and MaHui Members
** August 8–11, the 2022 Zhongguancun Forum series event — the AI for Science Summit was held online. This year's theme was "AI for Science: Co-creating the Future," featuring a main forum and six themed sub-forums. Multiple academicians, scholars, researchers, and entrepreneurs delivered over 50 top-tier presentations, interpreting cutting-edge topics from diverse perspectives.
Technological innovation is the driving force behind human progress. Today, scientific development faces a historic opportunity: the integration of artificial intelligence with traditional research holds enormous potential, and the new paradigm of AI for Science has become a major trend. Yet it is undeniable that AI for Science still has significant room for breakthroughs — how can AI be used more efficiently to advance scientific research?
What specific challenges and breakthroughs does AI for Science present in fields such as biocomputing, materials computing, and industrial simulation? What infrastructure does AI for Science require, and how will it connect with industrial applications? Over four days of discussions, the summit will address these hot topics, providing answers for global guests and audiences committed to practicing AI for Science.
On the afternoon of August 11, Source Code Capital and MaHui member DeepWise co-hosted the sub-forum "Opportunities and Challenges in AI4S Industrialization," inviting seven industry entrepreneurs and Source Code Capital investors to discuss the opportunities and challenges of bringing AI4S to market.
Traditional AI applications require large amounts of data as a prerequisite. However, due to data sparsity, low standardization, and poor distributional consistency, AI has faced major bottlenecks in many industrial fields. The development of the "AI for Science" paradigm now brings fresh opportunities to many data-scarce industrial domains.
What do industrial customers need from this entirely new paradigm and concept? How do investors view it? How should entrepreneurs act? What difficulties will practitioners in the field face? We welcome you to join the "Opportunities and Challenges in AI for Science Industrialization" sub-forum.
The full summit will be broadcast simultaneously on the Zhongguancun Forum official website, the summit official website, Bilibili (AISI and Deep Potential), WeChat Channels (DeepWise), and other platforms. We look forward to your participation. After the event, we will comprehensively compile and release all conference content, covering every outstanding presentation.
Related articles will be published simultaneously on the "AISI" WeChat official account, the "DP Technology" WeChat official account, the "Source Code Capital" WeChat official account, and the summit official website (http://ai4ssummit.bjaisi.com/). Don't miss the wealth of exciting content!
Click Read More below to access the official livestream.


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