Summary
Discovery in science, machine learning, and artificial intelligence (AI) invariably employs computations with matrices and their higher-dimensional extensions, tensors. Examples include the design of new antibiotics or cancer drugs, the development of quantum computers which can rapidly solve even the harder problems in chemistry and physics, or the construction of novel artificial intelligence architectures which can work more effectively alongside human researchers while reducing energy and hardware costs. These operations typically demand a major part of the computational resources, necessi
