4 ms·
Rust is great for well defined tasks that are not too exploratory and/or will be ran many times, so performance matters. There are quite a few interesting stati
by nextos 3y ago
Rust is great for well defined tasks that are not too exploratory and/or will be ran many times, so performance matters. There are quite a few interesting statistical inference tools being built on Rust right now. Julia is fast, but it still has some memory usage problems in my experience.
One area I am interested in where Rust could make a lot of sense is edge computing & ML. Imagine a model such as a Kalman filter in a little robot. Here, Rust's low footprint and latency would be advantageous.