(一)人工智能创新技术

　　1.定义：

　　专注于人工智能领域的技术创新，包括但不限于算法优化、数据处理、模型训练、智能硬件开发等。参赛项目应展示人工智能技术的创新点和潜在应用价值。

　　2.具体要求：

　　·技术创新：项目需展示在人工智能领域的关键技术创新，包括但不限于算法、模型、数据处理方法等。

　　·技术验证：项目应提供技术可行性分析，包括技术流程框架、产品预期功能清单与形态、开发排期等，并提供技术先进性和有效性的相关证明材料。

　　·应用潜力：项目应具有明确的应用前景，能够推动人工智能技术的发展和应用。

　　(二)人工智能场景应用示范

　　1.定义：

　　聚焦于人工智能技术在特定场景下的应用示范，旨在展示人工智能技术如何解决实际问题，提升效率，改善用户体验。参赛项目应围绕人工智能技术在生活、教育、医疗、交通、城市管理等领域的实际应用展开，形成创新性的典型应用案例，短期内有良好产业化前景。

　　2.具体要求：

　　·技术应用：参赛项目需展示人工智能技术在特定场景下的应用案例。

　　·技术创新：项目应具有创新性，能够提供新的解决方案或显著改进现有应用。

　　·实际效果：需提供项目实施后的实际效果评估，包括效率提升、成本节约、用户体验改善、绿色低碳等。

　　·可推广性：项目应具备一定的可推广性，能够在其他地区或场景中复制和应用。

　　(三)人工智能创新创意

　　1.定义：

　　关注人工智能产业领域的新概念、新想法、新产品，包括应用具身智能、协同智能、群体智能在工业、医疗、教育、企业管理等领域开展创意性研究。

　　2.具体要求：

　　·思想创新：针对工业、医疗、教育、企业管理等领域具体场景，提出填补空白、新的创意想法，解决关键痛点问题。

　　·可行性论证：项目应开展理论分析和实验研究，提供原理、论理、商业等可行性分析报告。

　　·提出技术概念和应用设想：基于基本原理，提出明确的技术概念和应用设想，设计预期产品的基本结构和功能特性，进行预期产品技术能力预测。

　　I.Artificial Intelligence Track

　　1.AI Technology

　　a.Definition: Focusing on technological innovation in the field of AI, including but not limited to algorithm optimization, data processing, model training, and the development of smart hardware. The participating projects should showcase the innovative points and potential application value of AI technology.

　　b.Specific Requirements

　　Technological innovation: The project needs to showcase key technological innovations in the field of artificial intelligence, including but not limited to algorithms, models, data processing methods, etc.

　　Technical verification: The project should provide a technical feasibility analysis, including the technical process framework, the expected functional list and form of the product, the development schedule, etc., and offer relevant proof materials of the technical advancement and effectiveness.

　　Application potential: The project should have a clear application prospect and be capable of promoting the development and application of artificial intelligence technology.

　　2. Demonstration of AI scenario applications

　　a. Definition: Focusing on the application demonstration of AI technology in specific scenarios, it aims to showcase how AI technology can solve practical problems, enhance efficiency, and improve user experience. The participating projects should focus on the practical application of AI technology in fields such as daily life, education, healthcare, transportation, and urban management, and form innovative typical application cases with good industrialization prospects in the short term.

　　b. Specific Requirements

　　Technical Application: The participating projects need to showcase application cases of AI technology in specific scenarios.

　　Technological innovation: The project should be innovative and capable of providing new solutions or significantly improving existing applications.

　　Actual effect: It is necessary to provide an assessment of the actual effect after the project implementation, including efficiency improvement, cost savings, user experience enhancement, and green and low-carbon development, etc.

　　· Scalability: The project should have a certain degree of scalability and be able to be replicated and applied in other regions or scenarios.

　　3. Innovation and Creativity of AI

　　a.Definition: Focus on new concepts, new ideas, and new products in the field of AI industry, including conducting creative research on the application of embodied intelligence, collaborative intelligence, and swarm intelligence in industries such as manufacturing, healthcare, education, and enterprise management.

　　b.Specific Requirements

　　Innovative thinking: In response to specific scenarios in fields such as industry, healthcare, education, and enterprise management, propose innovative ideas that fill the gaps and address key pain points.

　　Feasibility study: The project should conduct theoretical analysis and experimental research, and provide feasibility analysis reports covering principles, theories, and business aspects.

　　Propose technical concepts and application ideas: Based on fundamental principles, put forward clear technical concepts and application ideas, design the basic structure and functional characteristics of the expected product, and predict the technical capabilities of the expected product.