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rust-scicomp · Jun 27, 2023 · 3261a0c · 3261a0c
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 title: "Automatic differentiation of Rust, with the friendly help of your compiler"
-abstract: "Calculating gradients is necessary for various algorithms such as Backpropagation, Bayesian inference, uncertainty quantification, and probabilistic programming. Enzyme is a tool that can automatically compute gradients and was accepted for experimental (nightly) integration into the Rust compiler. We demonstrate how [rust-enzyme](https://github.com/EnzymeAD/rust) can be used, present the next development steps, and discuss Rust specific challenges for Automatic Differentiation."
+abstract: "Calculating gradients is necessary for various algorithms such as back propagation, Bayesian inference, uncertainty quantification, and probabilistic programming. Enzyme is a tool that can automatically compute gradients and was accepted for experimental (nightly) integration into the Rust compiler. We demonstrate how [rust-enzyme](https://github.com/EnzymeAD/rust) can be used, present the next development steps, and discuss Rust specific challenges for automatic differentiation."
 speaker:
   name: Manuel Drehwald
   email: drehwald@mit.edu