Global Artificial Intelligence Conference Hangzhou Summit (GAIC-HZ)

Here is the global hub of artificial intelligence; here is the innovation engine of future technology!

In the wave of global digital transformation, artificial intelligence (AI) is reshaping the industrial landscape and empowering human life at an unprecedented speed. As China's digital economy highland and a benchmark city for technological innovation, Hangzhou once again gathers global wisdom to create the 2025 Hangzhou Global Artificial Intelligence Conference - a top platform that connects the global AI industry chain and promotes technology sharing and resource integration.

Why participate?

Linking the global ecosystem and empowering the future of the industry

Top companies gather: Huawei, Alibaba Cloud, deepseek, Yushu Technology, NVIDIA, SenseTime and other global AI-related executives and companies to participate in sharing and displaying the latest technological achievements and solutions

Full industry chain coverage: from chip research and development, algorithm innovation to scenario applications, covering core areas such as intelligent manufacturing, smart cities, medical health, and financial technology, opening up upstream and downstream cooperation channels.

Capital and project docking: Hundreds of investment institutions are on-site to provide funding and resource support for start-ups and scientific research teams, helping to accelerate technology implementation and commercialization.

Insight into cutting-edge trends and share a feast of ideas

International big names gather: Global AI leaders gather to discuss disruptive technology directions such as generative AI, quantum computing, and brain-computer interfaces.

Theme forum: Focusing on hot topics such as "AI infrastructure", "AI algorithms", "AI applications", "AI talents", and "AI capital", collide cross-border thinking and define industry standards.

Future scene experience: Immersive AI application exhibition area, zero-distance contact with various robots, AI service life, AI service industry, autonomous driving and other black technologies, touch the future life picture.​

Efficient resource matching, activate unlimited possibilities

Precise business docking: AI intelligent matching system, targeted recommendation of partners according to corporate needs, to achieve "one-click connection" of global resources.

Government, industry, academia and research linkage: government policy interpretation, university achievement transformation roadshow, corporate demand release, to build a multi-party collaborative innovation ecosystem.

Global media focus: 100+ domestic and foreign media report the whole process, enhance brand exposure, and shape industry influence.

Conference highlights

AI leaders closed-door summit: global decision makers discuss the new pattern of technological sovereignty and industrial competition and cooperation.

Tomorrow's Star Innovation Competition: Discover unicorns in the AI ​​field, and open a direct channel for tens of millions of investment!

Talent Carnival: Recruitment area for top AI engineers and data scientists to help companies seize talent highlands.

Hangzhou: An ideal city for AI innovation

With the goal of becoming the world's artificial intelligence industry center, Hangzhou is home to innovative giants such as Alibaba and Zhijiang Laboratory, and the proportion of digital economy exceeds the national average. Here, there is both the poetic beauty of the thousand-year-old West Lake and the surging momentum of future technology! In addition to attending the conference, you can stroll around the West Lake and visit the AI ​​Industrial Park to experience the unique charm of the integration of technology and humanities.

Forum 1: Forum on the Development of the Basic Layer of Artificial Intelligence

Topic 1: Innovation and Application Challenges of Artificial Intelligence Chips    - Comparison and advantage analysis of different types of artificial intelligence chips (GPU, FPGA, ASIC, etc.) in terms of performance, power consumption, and cost.- How can emerging artificial intelligence chip architectures cope with the complex computing needs of deep learning and help accelerate model training and reasoning.- Challenges and solutions for compatibility, computing power allocation, and heat dissipation faced by artificial intelligence chips in edge computing, IoT and other scenarios. Topic 2: Data Resource Management and Quality Assurance - In the era of big data, how to efficiently and accurately collect massive and high-quality artificial intelligence data, covering data collection methods and techniques in multiple fields. - The current status and future trends of automated data annotation technology, how to improve the efficiency and accuracy of data annotation to meet the training needs of different models. - Construction of data storage and management system, including database selection, data security protection, and how to ensure the integrity and accessibility of data in long-term use.

Forum 2: Artificial Intelligence Technology Breakthrough Forum

Topic 1: Evolution and Practical Application of Deep Learning Framework - The core function updates and optimization directions of mainstream deep learning frameworks (such as TensorFlow, PyTorch, etc.), and their impact on developers. - How to use deep learning frameworks to efficiently build, quickly train, and conveniently deploy complex neural network models, and share best practice cases. - Considerations and adaptation strategies for choosing appropriate deep learning frameworks in different application scenarios (such as image recognition, natural language processing, etc.). Topic 2: Integration and innovative application of cross-domain general technologies - How to deeply integrate natural language processing technology with computer vision, speech recognition and other technologies to create more intelligent and interactive application scenarios, such as multimodal intelligent customer service. - Difficulties and breakthrough ideas in the application of computer vision technology in different fields such as security, medical, and industrial testing, such as accurate image recognition methods under small sample conditions. - Technical exploration of speech recognition and synthesis technology to improve accuracy and naturalness in complex environments, as well as interactive optimization strategies in smart cars, smart homes and other fields.

Forum 3: Artificial Intelligence Application Layer Expansion Forum

Topic 1: Diversified applications and experience upgrades of artificial intelligence in the consumer field - Functional expansion and personalized service deepening of intelligent voice assistants, how to better understand user intentions and provide accurate services, and privacy protection strategies. - The development trend of smart wearable devices combined with artificial intelligence to achieve accurate health monitoring and motion analysis, such as health risk prediction based on multimodal data. - Exploration of the application of artificial intelligence in emerging consumer scenarios such as virtual reality (VR) and augmented reality (AR), how to enhance the user's immersive experience.

Topic 2: Changes and opportunities of traditional industries empowered by artificial intelligence - In the industrial field, how artificial intelligence promotes the transformation of intelligent manufacturing from automation to intelligence and flexibility, including the practice and achievements in robot intelligent collaboration and intelligent optimization of production processes. - In the medical industry, the application and implementation of artificial intelligence-assisted diagnosis, disease prediction and health management, how to break through data barriers and ethical dilemmas to achieve larger-scale applications. - In the field of transportation, the commercialization process of autonomous driving technology and the legal, ethical, and safety issues it faces, as well as how intelligent transportation management can coordinate urban development, alleviate traffic congestion, and improve travel efficiency.

AI Entrepreneurship Competition --- Investment and Financing Matching

The investment and financing matching of the artificial intelligence entrepreneurship competition is of great significance. The matching process includes project screening and recommendation, roadshow presentation, one-on-one negotiation, and investment decision-making and signing. Entrepreneurs should prepare clear and eye-catching business plans, be familiar with all aspects of the project, and match investment institutions in a targeted manner; investors need to understand industry trends and objectively evaluate projects. In terms of matching skills, entrepreneurs should be concise and clear in roadshows, be sincere and confident during negotiations; investors should be good at asking questions and building trust. In competitions such as the "Chengdu Piao Cup" and the "Guangdong-Hong Kong-Macao Greater Bay Area", many high-quality projects have successfully joined hands with investors to promote the transformation of artificial intelligence results. It can be seen that effective investment and financing matching can help entrepreneurial projects flourish.

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