International Artificial Intelligence Industry Alliance Successfully Hosts the Inaugural Artificial Intelligence Industry Innovation Application Summit(GuangZhou)
December 27, 2024
The inaugural International AI Industry Innovation Application Summit, also known as the 2024 International AI Industry Alliance Annual Forum, was successfully held in Guangzhou. Under the guidance of the Guangdong Provincial Academy of Sciences, Guangzhou Science and Technology Bureau,the event was organized by the International AI Industry Alliance, the Guangdong-Hong Kong-Macao Greater Bay Area Innovation and Entrepreneurship Incubation Base, and Peking University Science and Technology Park. The summit aimed to construct an outstanding platform for international innovation, cooperation, and exchange in the Guangdong-Hong Kong-Macao region, focusing on the transformation of scientific and technological achievements and the incubation of the AI industry.
On the afternoon of the 27th, government leaders, representatives of the International AI Industry Alliance, academicians, experts, over 200 entrepreneurs, leaders of various industry associations, and representatives from scientific research platforms and parks gathered by the Pearl River to discuss the trends and opportunities of AI industry innovation and application, injecting new momentum into creating a globally influential AI dynamic bay area.
The conference commenced with an address by Dr. Chen Junlong, Vice Chairman of the International AI Industry Alliance and a member of the European Academy of Sciences. Dr. Chen outlined the development and vision of the alliance, emphasizing AI's role as a pivotal force in the new technological revolution and industrial transformation, and the new engine for economic development. He highlighted the need for multi-party collaboration to accelerate AI innovation and application across various industries.
In the keynote speech session, Liu Xiangyang, an academician of the European Academy of Sciences and Chief Information Security Officer at Midea Group, shared insights on building an AI-enabled global unified digital infrastructure. He discussed the components of a unified digital base, including cloud computing, big data, databases, and information security platforms, underscoring the importance of integrating AI into these systems.
Academician Ding Xianping from Sichuan University presented on the multifaceted empowerment of AI in healthcare, including disease prevention, diagnosis, treatment, rehabilitation, and drug development. He also discussed cutting-edge applications of AI in stem cell technology and innovative AI cell preparation techniques.
Academician Luoson from the European Natural Academy delved into the applications of artificial intelligence in hospital operations, detailing AI's role in medical imaging diagnosis, disease prediction, medical resource management, medical quality management, and medical decision support. He emphasized that the future trend is towards precise personal health management and highlighted his team's transformation of a series of AI large models over ten years into intelligent entities capable of understanding medical records and simulating the thinking and execution processes of expert quality control.
Professor Li Zhi from Zhejiang University shared insights on how industrial large models empower manufacturing quality and efficiency. He discussed the trend of professional task large models and their significance in enhancing quality and efficiency through various case studies.
Forbes China AI Enterprise Selection Committee Chairman Mao Wenjie presented on the Forbes China AI50, introducing the six major disruptive AI breakthroughs of 2024 and the global AI industry scale and growth trends. She showcased the 2024 Forbes China Top 50 AI Technology Enterprises, expressing hope that industry leaders, experts, and innovators will collaborate to build a more intelligent, efficient, and fair AI space-time continuum.
Dr. Yu Fei, Assistant Director of Tsinghua University's Technology Innovation Research Center, delivered a keynote speech on creating a new paradigm for corporate science and technology innovation with AI large language models. Dr. Yu analyzed the value of park carriers and industry associations and how to support the development of science and technology innovation enterprises. He also discussed the difficulties in technology transfer and the work of technology managers, attributing these challenges to the inefficient matchmaking between the supply and demand of technology and the market. He then shared his team's development of a revolutionary tool for science and technology innovation services: the AI Science and Technology Innovation Platform, and how the platform precisely matches the scientific and technological achievements of colleges and universities with the technical needs of enterprises.
Xiao Renjun, Deputy Secretary of the Party Committee and General Manager of Guangdong Academy of Sciences Holdings Co., Ltd., shared insights on building a large-scale service system that empowers scientists to innovate, create, and prosper. He mentioned the need for systemic and mechanism innovation to create a full-process technology innovation chain that covers "basic research + technological breakthrough + achievement transformation + scientific and technological finance + talent support." He hopes to solve the "problem" of scientific and technological achievement transformation, convert scientific research knowledge into high-value data assets, and use AI big data technology as a tool to improve industrial science and technology service capabilities and empower new quality productivity.
Cai Zhongtao, Secretary-General of the International AI Industry Alliance, shared insights on how the AI Innovation Brain empowers the transformation of scientific and technological achievements to improve quality and efficiency by 100 times. He highlighted the top partners and top science and technology innovation ecology of the AI Innovation Brain, relying on the academician and science and technology innovation talent resources, enterprise resources, scientific research equipment resources, scientific research platform resources, science and technology innovation financial resources of the Guangdong Provincial Academy of Sciences, Tsinghua University's Technology Innovation Research Center, International AI Industry Alliance, and the Guangdong-Hong Kong-Macao Greater Bay Area Innovation and Entrepreneurship Incubation Base, as well as a comprehensive science and technology innovation service system, technological breakthrough system, scientific and technological achievement evaluation system, and intelligent matching system for scientific and technological projects. This will penetrate the "blockage" of scientific and technological achievement transformation, accelerate the technical maturation and commercial maturation of efficient science and technology innovation projects, and quickly create investable science and technology enterprises. Secretary-General Cai called on all parties to work together to provide precise and efficient services for governments, parks, scientific research institutions, and enterprises across the country. To break through scientific and technological innovation resources, allowing scientific and technological innovation information and data to flow efficiently and match accurately.
In an exciting highlight of the conference, the "Smart Drive, Empowering the Bay Area" AI Innovation Brain collaboration was officially launched, marking a new chapter in the development of the AI industry within the Guangdong-Hong Kong-Macao Greater Bay Area. The launch ceremony was jointly initiated by Meng Hui, Deputy Director of Guangzhou Science and Technology Bureau; Xiao Renjun, General Manager of Guangdong Academy of Sciences Holdings Limited Company; Yu Fei, Assistant Director of Tsinghua University's Technology Innovation Research Center; Meng Yunjuan, Assistant to the President of Guangdong Enterprise Confederation and Guangdong Entrepreneurs Association; Xu Xiaomin, Secretary-General of Guangdong Electronic Information Industry Association; Zhang Shuwen, Vice President and Secretary-General of Sun Yat-sen University Alumni Association; Chen Shan, Chief Operating Officer of Guangdong-Hong Kong-Macao Greater Bay Area Innovation and Entrepreneurship Incubation Base and International AI Industry Alliance Liaison Secretary-General; and Cai Zhongtao, Secretary-General of the International AI Industry Alliance. This collaborative effort signifies a significant step forward in leveraging AI to drive regional development and innovation.
During the summit, attendees also witnessed the strategic cooperation agreement signing ceremony between the Forbes China AI Enterprise Selection Committee and the International AI Industry Alliance. Through this strategic partnership, both parties will integrate their respective strengths, share resources, and complement each other's advantages to jointly build a new ecosystem for the AI industry. The alliance will also identify high-quality AI enterprises and scientists to recommend for participation in the Forbes China AI Enterprise Selection Committee's relevant rankings.
Additionally, the summit celebrated two significant milestone events: the preparatory launch of two industry committees under the International AI Industry Alliance (AIIA) — the "AI+ Instrument Industry Committee" and the "AI+ Biomedical Industry Committee," led by Directors Jiang Chao and Yang Xiaodong, respectively. The establishment of these committees indicates the AIIA's solid strides in promoting the deep integration of AI technology with specific industries.
As the forum progressed, the much-anticipated project roadshow segment finally commenced, unveiling three cutting-edge technology projects that have captured significant attention. These projects not only demonstrated innovative applications of artificial intelligence in mental health, clinical medicine, and biopharmaceutical fields but also brought new breakthroughs and opportunities for the development of related industries. The audience witnessed the advancement of technology and the climax of the project roadshow.
First to present was Dr. Zhang Hongzhao, General Manager of Kosso Health Technology (Foshan) Co., Ltd., who represented the team of Academician Chen Junlong and introduced the "Development and Innovative Application of Mental Health Assessment and Intervention Systems Based on Brain-Computer Interface Technology" project. This project, which utilizes non-invasive EEG collection, wide learning, AI algorithms, and multimodal data fusion, provides more precise assessment and intervention methods in the field of mental health, achieving more objective, efficient, cost-effective, and accurate therapeutic effects.
The second roadshow project, "Application of Methylation in Clinical Practice (NGS + AI Model)," was presented by Mr. Yang Jinping, COO of Lingyuan Medical. Yang Jinping highlighted that lung cancer has the highest incidence and mortality rates in our country, and early lung nodules have a high rate of false positives. To address the challenges of obtaining tumor samples and the limited sensitivity of ctDNA, Lingyuan Medical discovered a series of novel tumor-immunity methylation markers based on "tumor-immunity" surveillance theory. These markers show a correlation of up to 0.99 with tumors as small as 8 millimeters and only require 2 milliliters of peripheral blood to monitor the entire process of tumor occurrence, development, and treatment effects. This project not only provides new ideas for early disease diagnosis but also offers strong technical support for the implementation of precision medicine.
Lastly, Mr. Yang Xiaodong, CEO of ShuZhi Biotech, presented the "AI Research Cloud Platform Boosting High-Quality Development in the Biopharmaceutical Industry" project. Yang Xiaodong introduced the AI Research Cloud Platform, an AI intelligent entity based on AI LLM & Agent, supporting the entire process of research from data cleaning, modeling, analysis to visualization, and report generation, reducing the programming barrier. In the medical field, it can ingeniously integrate and analyze massive amounts of data from actual medical practices, covering various dimensions such as patient health records, treatment effectiveness, and drug usage, broadening the horizons beyond traditional clinical experiments. This provides a broader and more realistic evidence base for drug evaluation, disease understanding, and medical strategy planning, thereby empowering and accelerating drug research and development as well as disease diagnosis and treatment.
As the projects were showcased one by one, the audience witnessed the cutting-edge applications of artificial intelligence technology in different fields and recognized more clearly the important role of AI in promoting industry progress and industrial transformation. It is believed that with the continuous advancement of these innovative projects, the future intelligent health and biopharmaceutical industries will achieve faster and more precise high-quality development, driving global technological innovation and industrial transformation.