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Advancing AI-Driven Techniques for Complex Problem Solving: A Focus on Distributed Constraint Satisfaction Problems
Project Overview This research explores the development and application of AI-driven intelligent systems to enhance problem-solving efficiency and effectiveness in complex problem domains.The study focuses on designing novel frameworks and algorithms that leverage multi-agent systems, and intelligent agents to address large-scale and computationally challenging problems. One key area of interest is Distributed Constraint Satisfaction Problems…
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Enhancing Cardiomyocyte Dynamic Network Analysis with Machine Learning
Project Overview Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide,responsible for approximately 17.9 to 20.5 million deaths annually. Whilst the global burden of CVD keeps increasing, recent efforts to accelerate the development of innovative therapeutic strategies for managing CVD have persistently failed to deliver new drugs to the market. These challenges…
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Smart digital representation and reconstruction in material science with AI and computer vision
Project Overview This project aims to integrate computer vision and artificial intelligence into materials science, utilizing deep learning and other AI methodologies to enable efficient and cost-effective digital characterization and reconstruction of heterogeneous materials. By advancing the application of emerging AI technologies, this research seeks to accelerate the development of materials informatics and enhance digital…
