FOCUS AND SCOPE
AIST covers research across a wide range of AI in science and technology disciplines, including but not limited to:
- Scientific Discovery and Modeling: AI in predictive modeling, simulation, and hypothesis generation across disciplines such as physics, chemistry, biology, and environmental science.
- Engineering and Industrial Applications: AI-driven optimization, robotics, manufacturing systems, and smart technologies in engineering.
- Technological Innovations: Machine learning applications in emerging technologies such as IoT, quantum computing, renewable energy systems, and material science.
- Data-Driven Science and Technology: AI techniques for data analysis, visualization, and knowledge extraction from scientific datasets.
- AI in Scientific Instruments and Automation: Enhancements in scientific tools, laboratory automation, and AI-based diagnostic systems.