PMAI LAB • KNOWLEDGE • RESEARCH • INSIGHTS
Explore academic perspectives, technical tutorials, mathematical insights, research ideas and educational articles contributed by PMAI Lab faculty and researchers.
PMAI LAB PUBLICATIONS
Faculty members and researchers publish their complete articles on their individual academic GitHub pages. Select an article below to read the full publication.
ARTIFICIAL INTELLIGENCE
Mathematics as the foundation of artificial intelligence — and what's actually happening underneath.
Explore why Python has become one of the most widely used programming languages for AI, machine learning and data science.
Understand vectors, matrices, transformations and their role in modern machine learning models.
Explore the practical workflow of data science, from data collection and preprocessing to analysis, visualization and interpretation.
Discover how mathematical models can represent complex systems and contribute to computational intelligence and scientific research.
Examine how artificial intelligence can support teaching, learning, assessment and academic research.
Follow the evolution of neural network architectures from the classical perceptron to modern deep learning systems.
Understand how optimization concepts such as gradient descent help machine learning models minimize error and improve predictions.
An introduction to generative models, large language models and their emerging applications in education and research.
