On October 14, 2024, the Information Technology Institute, Vietnam National University, Hanoi, successfully organized a scientific seminar on the theme “Exploring AI Applications and Semiconductor Technology” in collaboration with the IEEE Circuits and Systems Society (IEEE CASS). This scientific seminar was a significant event, attracting the participation of many leading experts from South Korea and Vietnam in the fields of artificial intelligence (AI) and semiconductors. It provided an opportunity for the scientific and technological community to meet, share the latest advancements in research, and promote the development of AI and semiconductors in Vietnam and globally. Prof. Tran Xuan Tu – Director of the Information Technology Institute, Vietnam National University, Hanoi, and Prof. Hanho Lee – Inha University, South Korea, co-chaired the seminar.
The event featured the participation of many renowned speakers. The presentation by Prof. Myung Hoon Sunwoo (Ajou University, South Korea), President of IEEE CASS, provided deep insights into how Generative AI is revolutionizing the healthcare sector, such as the early detection of conditions like jaundice (a liver disease) and Alzheimer’s. These applications not only enhance medical efficiency but also lay the foundation for a new technological era in healthcare, showcasing the potential of artificial intelligence and deep learning (DL) in improving digital healthcare. Additionally, Prof. Myung Hoon Sunwoo emphasized the challenges in developing hardware-accelerated systems for AI at the edge and server devices.
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Not only international experts but also two Vietnamese scientists, Dr. Pham Minh Trien (University of Engineering and Technology, VNU) and Dr. Mai Duc Tho (Academy of Cryptography Techniques), shared advancements in AI across practical application fields. Dr. Trien introduced compact AI models that help optimize smart agriculture, a rapidly growing sector in Vietnam. Meanwhile, Dr. Tho impressed with solutions for implementing facial recognition on embedded hardware devices using TinyML technology, highlighting significant potential for AI applications in everyday life.