Talks to Watch

Robert Moss: Julia and the Next Generation Airborne Collision Avoidance System

4K views · Aug 15, 2015 · 32:10 · 1 HN recommender · 4 mentions · discussed 2016–2024

Robert Moss's JuliaCon 2015 talk describes using Julia as a specification language for ACAS X, the next-generation airborne collision avoidance system that succeeds TCAS.

Why Hacker News points people here: HN points to it as a real-world example of Julia used in safety-critical aerospace design.

“See these talks on how a collision avoidance system was designed with Julia.”HN comment, 2022

What Hacker News said 4

RecommendsViralBShahJun 2022

“See these talks on how a collision avoidance system was designed with Julia.”

How a collision avoidance system was designed in Julia.

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A detailed discussion is on Julia discourse: link Bugs are everywhere - including Python and R libraries. You would not design a safety critical system in Python using libraries and codepaths that are not heavily tested. Even then, you still have to carefully design testsuites that give you confidence that what you are computing is what is expected. See these talks on how a collision avoidance system was designed with Julia. link this video

in “Why I still recommend Julia” · view on HN
Cites itchappi42Feb 2016

“about TCAS (and its successor, ACAS X)”

Presentation on TCAS and ACAS X.

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In case you are interested, here are slides ( link ) and a presentation ( this video ) about TCAS (and its successor, ACAS X)

in “Static, Ahead of Time Compiled Julia” · view on HN
Cites itViralBShahOct 2016

“An avionics application”

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While many of Julia Computing's customers already use Julia in production, JuliaCon has had many talks as well. Here are a few: A Big Data application: link A finance application: link An avionics application: this video

in “An Introduction to Machine Learning in Julia” · view on HN
Cites itagucovaMay 2024
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This is true, but even engineers see the advantages of Julia. My engineering school has went from almost pure Matlab usage to many key engineering courses switching to Julia due to its simplicity and friendliness. It's also SOTA for many engineering applications, particularly for acausal modelling and scientific machine learning (see link ), which has led to big companies like Pfizer adopting it [1]. And for engineers writing novel libraries, it clearly has a strong edge. See for example the work by NASA's JPL [2, 3], the FAA [4] or the CliMa project [5]. [1]: link (see also link ) [2]: link [3]: link [4]: this video [5]: link