Matrix and tensor modeling in Artificial intelligence anddata science

Physics and engineering have been the primary sources of problems in matrixcomputations for several decades. However, in recent years, significant progress inartificial intelligence and data analysis has given rise to challenging problems thatrequire efficient matrix techniques. Additionally, these fields contain vast data withmulti-dimensional structures, for which tensors serve as the appropriate structure. Inthis lecture, we intend to discuss the main approaches and concepts in the field ofutilizing matrix and tensor modeling in artificial intelligence and data science.