In this article, we will talk about *classical computation*: the kind of computation typically found in an undergraduate Computer Science course on Algorithms and Data Structures [1]. Think shortest path-finding, sorting, clever ways to break problems down into simpler problems, incredible ways to organise data for efficient retrieval and updates. Of course, given *The Gradient*’s focus on Artificial Intelligence, we will not stop there; we will also investigate how to *capture* such computation with deep neural networks.

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OMG! Neural Algorithmic reasoning! Such an amazing read, thanks for sharing. We definitely need AI to reason more and provided bounded guarantees that specific domains. e.g It can at-least do perfect math at <1000 digits and apply it to grade school math natural language answering.