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ICP News
Date: 23-04-2025
Combining AI and Physics Can Lead to Breakthroughs in Scientific Research
With its timely theme "Artificial Intelligence, Physics – Applications," this public lecture not only provided in-depth knowledge but also opened up new directions by integrating artificial intelligence (AI) and physics to drive the advancement of science and technology.
On September 20, the Vietnam Physical Society, the Institute of Physics, and the Center for Information and Documentation (under the Vietnam Academy of Science and Technology) jointly organized a public lecture and knowledge dissemination seminar titled "Artificial Intelligence, Physics – Applications."
The speakers at the seminar were Associate Professor Dr. Nguyen Ai Viet (Vietnam National University, Hanoi) and Associate Professor Dr. Pham Hong Duong (Institute of Materials Science under the Vietnam Academy of Science and Technology).The seminar attracted a large number of scientists from within and outside the Academy, as well as students from several universities in Hanoi. Both lectures at the seminar demonstrated that the integration of AI and physics can lead to remarkable breakthroughs in scientific research. In the future, AI will continue to optimize scientific processes, while physics will serve as the foundation for the development of intelligent AI applications.
AI and Physics: Opening Up Revolutionary Development
In his lecture titled “Artificial Intelligence, Physics, and the Future,” Associate Professor Dr. Nguyen Ai Viet provided a comprehensive overview of the synergy between AI and physics. He emphasized the importance of quantum computing and Hopfield networks in developing AI models. AI not only aids in data analysis, simulation optimization, and speeding up research, but it also transforms the research process itself—enabling the discovery of new physical phenomena in unprecedented ways. AI is now widely applied in fields such as medical diagnostics, financial analysis, legal consulting, traffic control, and virtual assistance. Today’s AI possesses cognitive abilities, particularly in problem-solving (optimization, pattern recognition, forecasting, decision-making, natural language processing), critical thinking (analysis, comparing perspectives, outcome prediction, inquiry, evidence verification, decision optimization), mathematical reasoning (automated theorem proving, proof verification, modeling, solving IMO problems, symbolic computation, AI collaboration environments), and scientific research (modeling, big data analysis, law discovery, experimental simulation).
According to Dr. Nguyen Ai Viet, AI will provide immense value to physics, especially in designing new materials such as battery materials and nanomaterials. Physical technologies like spin glass have already been applied in artificial neural networks to optimize information processing and memory storage. The combination of AI and quantum physics to solve complex problems beyond the reach of classical systems will mark a groundbreaking advancement. Physics also contributes to the development of AI through innovations like the memristor, which facilitates the creation of hardware-based artificial neural networks, making AI more efficient and neurologically similar to the human brain. He concluded that integrating AI into physics education is essential to nurture a generation of interdisciplinary scientists ready to face future challenges.
In his lecture titled “Artificial Intelligence, Physics, and the Future,” Associate Professor Dr. Nguyen Ai Viet provided a comprehensive overview of the synergy between AI and physics. He emphasized the importance of quantum computing and Hopfield networks in developing AI models. AI not only aids in data analysis, simulation optimization, and speeding up research, but it also transforms the research process itself—enabling the discovery of new physical phenomena in unprecedented ways. AI is now widely applied in fields such as medical diagnostics, financial analysis, legal consulting, traffic control, and virtual assistance. Today’s AI possesses cognitive abilities, particularly in problem-solving (optimization, pattern recognition, forecasting, decision-making, natural language processing), critical thinking (analysis, comparing perspectives, outcome prediction, inquiry, evidence verification, decision optimization), mathematical reasoning (automated theorem proving, proof verification, modeling, solving IMO problems, symbolic computation, AI collaboration environments), and scientific research (modeling, big data analysis, law discovery, experimental simulation).
According to Dr. Nguyen Ai Viet, AI will provide immense value to physics, especially in designing new materials such as battery materials and nanomaterials. Physical technologies like spin glass have already been applied in artificial neural networks to optimize information processing and memory storage. The combination of AI and quantum physics to solve complex problems beyond the reach of classical systems will mark a groundbreaking advancement. Physics also contributes to the development of AI through innovations like the memristor, which facilitates the creation of hardware-based artificial neural networks, making AI more efficient and neurologically similar to the human brain. He concluded that integrating AI into physics education is essential to nurture a generation of interdisciplinary scientists ready to face future challenges.
Associate Professor Dr. Nguyen Ai Viet has spoken at the workshop
Exploring the Boundaries of AI in Lighting Design and Visual Perception
In his lecture titled “Exploring the Boundaries of Artificial Intelligence in Lighting Design and Visual Perception,” Associate Professor Dr. Pham Hong Duong shared his journey of integrating AI tools such as ChatGPT, MidJourney, and Gemini into his research, particularly in lighting system design and vision assessment.
According to Dr. Pham Hong Duong, one of the key challenges lies in mastering the diverse "languages" of AI—whether through voice input, images, or data. This process requires a progressive understanding, as both AI and humans must adapt to each other's communication styles and capabilities. Despite initial difficulties, this collaboration has yielded significant outcomes: five manuscripts, including three published papers and two under review. His work involves designing LED lighting, human-centric lighting (HCL), vision-assessment lighting (VA), and artistic design for advertisements. Additionally, AI plays a pivotal role in creating public lectures and artistic works, showcasing its versatility and impact. AI not only enhances creativity and research efficiency but also fosters deeper, evolving partnerships.
Associate Professor Dr. Phạm Hồng Dương shared his journey of integrating AI tools
At the seminar, scientists also held open discussions on ethical issues in AI applications and how to increase data volume to maximize AI’s potential in scientific research. According to Dr. Nguyen Ai Viet, the more a particular scientific field adopts AI, the faster AI will advance in that domain.
Professor Dr. Nguyen Đai Hung, former President of the Vietnam Physical Society, noted that the lectures addressed major and emerging issues in AI generally, and in its applications to physics specifically. Therefore, to further explore these topics, the Vietnam Physical Society and the Center for Information and Documentation plan to organize more public lectures to continue bringing valuable knowledge and insights to the public.
Professor Dr. Nguyen Đai Hung, former President of the Vietnam Physical Society, noted that the lectures addressed major and emerging issues in AI generally, and in its applications to physics specifically. Therefore, to further explore these topics, the Vietnam Physical Society and the Center for Information and Documentation plan to organize more public lectures to continue bringing valuable knowledge and insights to the public.