Around the application of artificial intelligence in new quality productivity, the specific content includes the following aspects:
1. Field Overview and Case introduction:
Field expert Dr. Liu Binbin was invited to introduce the application status of artificial intelligence in various fields, including but not limited to industrial manufacturing, healthcare, financial services, agriculture, etc., and combined with specific cases to introduce and analyze, to demonstrate the role of artificial intelligence technology in promoting new quality productivity.
2. Discussion on technical principle and development trend:
Academic experts will introduce the basic principles and development trends of artificial intelligence technology, including deep learning, machine learning, natural language processing and other technologies, as well as its application prospects and challenges in new quality productivity.
3. Experience sharing and practical cases:
Guests will be invited to share their experience and practical cases in the application of artificial intelligence technology in actual production, and discuss its effects and lessons in improving productivity, reducing costs, optimizing processes, etc.
4. Interdisciplinary exchange and cooperation discussion:
Set up discussion sessions or symposiums to allow participants from different disciplinary backgrounds to explore interdisciplinary applications and cooperation opportunities of AI in new quality productivity, and promote exchanges and cooperation between academia and industry.
5. Display and interactive experience:
Set up an exhibition area at the event site to display the latest artificial intelligence technology achievements and application products, and arrange interactive experience sessions, so that participants can understand and experience the application effect of artificial intelligence technology at close range.
Through the setting of the above content, participants can fully understand the application status quo and future development trend of artificial intelligence in new quality productivity, promote exchanges and cooperation between academia and industry, stimulate students' interest and enthusiasm for artificial intelligence technology, and contribute to promoting social progress and development.