The Fourth Big Data and Artificial Intelligence Conference was held in Shenzhen on February 7, organized by Shenzhen University, the China Automation Society, the Shenzhen Advanced Intelligent Manufacturing Institute, and the National Engineering Laboratory for Big Data System Computing Technology. This conference focused on advancements in artificial intelligence, large-scale data, machine perception, and strategic planning, featuring discussions among numerous experts, academics, and industry professionals aimed at promoting innovation in big data and artificial intelligence.
The event showcased the latest developments in artificial intelligence and large-scale data technologies. University President Chen Yingjie emphasized the significance of these fields, noting that they represent a new wave of scientific and technological advancements that impact both the economy and society. Shenzhen aims to become a central hub for innovation, integrating artificial intelligence and large-scale data technologies into its development strategy.
Shenzhen University’s Artificial Intelligence Institute is set to be officially established in April 2025, focusing on various national-level platforms, including the intelligent computing center and the big data system, to foster collaboration in the fields of artificial intelligence and big data across multiple countries.
During the conference, the importance of addressing the challenges of large-scale artificial intelligence systems was highlighted, with discussions on enhancing collaboration and communication among experts in the field. The goal is to elevate the capabilities and application of intelligent systems across various industries.
The conference also initiated discussions on developing standardized guidelines and frameworks regarding the ethical implications and future trends in artificial intelligence. It emphasized the need for a unified approach to governance and regulation in the rapidly evolving landscape of intelligent technologies.
Additionally, the conference covered topics such as machine learning algorithms, the integration of AI into traditional industries, and the societal impact of these technologies. The participants were encouraged to explore innovative solutions that harness the power of artificial intelligence and big data to drive progress.
In conclusion, the Fourth Big Data and Artificial Intelligence Conference served as a platform for collaboration among researchers, industry leaders, and policymakers, aiming to propel the development and application of these technologies in Shenzhen and beyond.
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