Group 1 - The core theme of the competition is to focus on the transformation of technological achievements and promote new productivity through AI applications and industry integration [3][4] - The competition has attracted over 100 projects, with 30 advancing to the next round, showcasing a high level of professionalism and internationalization, with 80% of projects led by PhD holders [2][4] - The event aims to build a platform for showcasing and transforming technological achievements, accelerating the deep integration of AI technology with the real economy [3][4] Group 2 - The competition has undergone upgrades in its design, evaluation mechanisms, and talent selection standards, emphasizing practical technical capabilities and project implementation potential [4] - The talent structure has improved, with a noticeable increase in high-level talents with overseas education or international research experience, indicating a stronger international perspective [4][5] - The evaluation team consists of professors from top universities, partners from leading investment firms, and experts from industry frontiers, ensuring a comprehensive assessment process [4] Group 3 - The competition is supported by a robust policy framework, offering substantial financial rewards and subsidies for projects that achieve implementation within a year [5][6] - The AI industry in the region is projected to exceed 104.13 billion yuan in revenue by 2024, indicating a strong growth trajectory [6] - The establishment of a national-level AI open-source community within the competition aims to enhance the technical implementation capabilities of participating projects [6] Group 4 - InfoQ, as the event organizer, leverages its extensive experience in technology media to empower the competition and support project growth [7] - The competition will feature a public evaluation mechanism in the next round, allowing for broader engagement and resource connection for the top 30 projects [8] - The final stage will select 10 award-winning projects, including one first prize, two second prizes, three third prizes, and four merit awards [8]

Core Viewpoint - The article discusses the rapid evolution of AI technology, emphasizing the collaborative ecosystem that supports developers in accessing and utilizing AI models effectively. The ModelScope community is highlighted as a key platform facilitating this collaboration and innovation [1][2]. Group 1: ModelScope Community Development - ModelScope community has grown significantly since its establishment in November 2022, now hosting over 500 contributing organizations and more than 70,000 open-source models, representing a growth of over 200 times [1]. - User numbers have surged from 1 million in April 2023 to 16 million, marking an approximate 16-fold increase [1]. - The community provides comprehensive services for developers, including model experience, download, tuning, training, inference, and deployment across various AI fields [2]. Group 2: AI Trends and Innovations - The first ModelScope Developer Conference featured a main forum and six thematic forums covering 65 topics related to cutting-edge models and tools, with participation from renowned AI open-source teams [5][6]. - The rise of multi-modal AI allows for simultaneous understanding and generation of text, images, audio, and video, enhancing interaction with the world [11]. - The emergence of world models enables AI to understand physical world dynamics, facilitating applications in robotics and autonomous systems [13]. Group 3: Open Source and Ecosystem - By 2025, China is positioned as a critical driver of the global AI open-source movement, with companies like Alibaba and DeepSeek releasing competitive open-source models [8][10]. - The integration of open-source initiatives with national infrastructure, such as computing networks, is fostering deeper applications of AI in public services and industrial manufacturing [10]. Group 4: AI Efficiency and Edge Computing - The industry is increasingly focused on model efficiency and cost, leading to advancements in model compression, quantization, and distillation techniques [15]. - The development of edge AI models allows for operation on personal computers and IoT devices, reducing latency and enhancing user privacy [17]. Group 5: Embodied Intelligence - The combination of AI technologies with robotics is leading to breakthroughs in embodied intelligence, enabling robots to perform complex tasks in unstructured environments [20]. - The collaboration between hardware advancements and AI models is crucial for real-time interaction and learning from the physical world [21]. Group 6: Developer Incentives - The ModelScope community has launched a developer badge incentive program to reward contributors, providing free GPU computing resources and training vouchers [26]. - The initiative aims to foster a collaborative environment for developers to share ideas and innovate within the community [26].