- Welcome to AIAHPC 2024 -

The 4^th International Conference on Artificial Intelligence, Automation and High Performance Computing (AIAHPC 2024)is scheduled to take place from July 19-21, 2024 in the historic city of Zhuhai, China. In the past decade, AI and automation technologies have experienced exponential growth, leading to a significant increase in demand for high-performance computing (HPC) practices. The surge in data volumes has created a need for more powerful computing resources to support complex AI models. HPC plays a crucial role in accelerating model training and inference processes, particularly in areas such as image recognition and natural language processing.

Tsinghua University has recently developed an ultra-high-performance computing chip that can improve computational efficiency by four million times. Additionally, they have also introduced the world's first All-analog Chip Combining Electronic and Light Computing (ACCEL), further enhancing their capabilities to cater to the demands of high-performance computing and automation. The integration of HPC into automation and AI computation processes not only provides necessary computational resources but also improves real-time performance and data accuracy.

Therefore,AIAHPC 2024 aims to explore both the research and application of HPC in AI and automation.

Reflecting on the past, AIAHPC 2021 was successfully hosted in Guangzhou, China, drawing over 200 participants from more than 10 countries. Subsequently, AIAHPC 2022 took place as a Virtual Conference in France and attracted over 300 attendees. More recently, AIAHPC 2023 was held in Hong Kong, China, upholding the tradition of international collaboration with over 200 attendees from more than 10 countries.

Looking ahead to AIAHPC 2024, the conference aims to be a high-caliber and cutting-edge forum that showcases the latest research results, fosters industry-academia-research collaborations, and highlights achievements and innovations in the field of high-performance computing. This will help shape the future research and practice of high-performance computing in the fields of automation and artificial intelligence.