Anima explores the potential of tensor operations in enhancing traditional approaches like PCA and expectation maximization, emphasizing their application in higher-order moments for multivariate distributions. She discusses the spectrum of problems that can benefit from tensorization, particularly in neural networks, suggesting that these advanced techniques could provide new insights into their structure and performance.
