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Tensor math is at the heart of linear algebra and has applications in various fields from materials science to machine learning itself.

Familiarity with linear algebra is expected. In addition, students should have taken a proof-based course such as CS 212 or Math 300. Tensors, or multiindexed arrays, generalize matrices (two ...

We need to develop new computational techniques for understanding tensors, as their applications continue to grow across engineering and the sciences. This opportunity gives Grochow a pathway to ...

When DL theorists saw the development of the GPU, they quickly adopted it for the clear acceleration of tensor math. GPUs are critical to the growth of the ML industry, driving training and ...

The Journal of the American Mathematical Society, begun in 1988, is published quarterly. It contains research articles of the highest quality in all areas of pure and applied mathematics. Publisher ...