Artificial Intelligence is Transforming Scientific Research and Diagnostic Methods
At the Artificial Intelligence and Physics conference held in Hanoi, the transformative role of AI in the discovery of new materials and the diagnosis of the hepatitis B virus was discussed.
At the Artificial Intelligence and Physics conference held in Hanoi, the critical contributions of AI in areas such as the research of new materials and the detection of the hepatitis B virus, along with its potential to transform scientific research, were discussed.
Scope of the Conference in Hanoi
The public conference titled Artificial Intelligence and Physics, held in Hanoi, brought together scientists, academics, and thousands of online viewers.
The event was organized by the Scientific Data and Information Center of the Vietnam Academy of Science and Technology in collaboration with VinUni and the Vietnam Physical Society.
AI in Material Discovery
Associate Professor Dr. Nguyen Hong Quang, Vice President of the Vietnam Physical Society, stated that researchers must apply artificial intelligence effectively within their fields of expertise.
While traditional material research begins with experimental observation, today simulations and artificial intelligence models carry this process to a much more advanced dimension.
Inverse Design and Prediction Capabilities
In the prominent inverse design approach, researchers determine desired properties in advance and utilize artificial intelligence to find the appropriate structure.
Artificial intelligence can also synthesize scientific publications, identify trends, and successfully predict the properties of polymers and alloys.
Nanophysics in Hepatitis B Diagnosis
Associate Professor Dr. Le Van Lich from VinUni presented a new method combining artificial intelligence with nanophysics to detect the hepatitis B virus.
The developed biosensor method is capable of distinguishing between positive and negative samples by using gold nanoparticles and machine learning models.
Future-Oriented Smart Tests
The long-term goal of the research team is to integrate image processing algorithms and artificial intelligence models into smartphone applications.
Through this integration, it is aimed for users to perform rapid tests and reach practical solutions in the healthcare field.
The Importance of an Interdisciplinary Approach
Discussions at the conference revealed that applying artificial intelligence in physics must be handled within an interdisciplinary process.
Artificial intelligence proves its true scientific value when combined with quality data and reliable verification mechanisms.