![]() It's great but I would also like to learn Godot Engine as an open source alternative that's a bit more accessible. I also use a bit of the Unity game engine to teach AI concepts and make 3D bots. And when one of my side-hustles inevitably calls for imagery I do graphics work in the all-powerful Sketch, drawing on my iPad in Procreate and final edits in Pixelmator Pro. So even for my PhD project, my supervisors and I collaborate on a private repository of Markdown documents that keep a history of our meeting notes and ideas and proposals as they evolve.įor the research side I manage resources with ReadCube Papers (or just BibDesk if I'm lazy) and I have every flavour of web browser-though Safari is my favourite. Along with my overnight adoption of Deckset for presentations (thanks Vicky!), this increased use of Markdown for my non-research written work has encouraged me more and more to keep it in version control on GitHub as I do with code. Likewise, it's great for fast composition of documents from simple Markdown or plain text with its Markdown PDF extension. For code, where I used to use Xcode for Swift and BBEdit for everything else, I have increasingly migrated to Visual Studio Code. Though Microsoft Word is sometimes an inescapable fact of life, wherever possible I like to typeset beautiful documents in LaTeX with Texpad. My most important tasks of a day are research writing and coding. And I have an eGPU made up of a hand-me-down Radeon R9 290 GPU in a Razer Core X case that I bought on sale and intended to use to accelerate some of my machine learning or rendering work but it's slightly annoying to setup in macOS and cloud resources are so easy nowadays that I really just use it to play video games on my MacBook. I also own a second-hand iPhone 8, a series 3 Apple Watch, and an old iPad Pro with first-gen Apple Pencil that I use for proper work things like teaching and prototyping but that I mostly got so I could watch Star Trek at the gym. It also works great with the new USB-C YubiKeys. Most of my work is done on a 16-inch 2019 MacBook Pro (i9, with 32GB memory and dedicated graphics) that I love to pieces I can train complex machine learning models on-device in a matter of hours, and I do graphics stuff and have like 400 million tabs and papers open all the time and it doesn't miss a beat. And our whole house runs off a single AirPort Extreme.īut I move around a lot between my university office and home and travelling for conferences, so I also have to be highly portable. My monitor is just the cheapest 28" Kogan monitor I could find when my last decade-old monitor died and it's the worst. My peripherals are a small Keychron K1 keyboard, a RIG 800 headset, and the best mouse in the world: the Gigabyte AIVIA M8600. Mine is a Cougar QBX case with a teeny tiny ASRock X570 motherboard, a Ryzen 5 2600, an NVIDIA 1060, and 32GB RAM. I share a 32m² (345ft²) micro-apartment with my husband who is also in tech and we even share a desk, so at home we each just have a home-built mini tower computer with a single monitor. ![]() a member of the WesterosCraft project team that is slowly recreating the entire world of Game of Thrones in Minecraft.ACS Tasmania) and community advocate in the field of Swift and Apple platform development and an industry council member ( AUC National, prev.a conference organiser of /dev/world and EveryWorld,.a freelance software developer and author of educational materials-including Practical AI with Swift for O'Reilly Media (as Mars Geldard), and related books still in the works.a teaching and research assistant at my university.a frequent volunteer and tech speaker at industry events all over the world.This is my latest in a number of roles that involve designing AI-powered solutions for complex domains across industry and academia. ![]() My name is Mars Buttfield-Addison but you may know me as I'm currently a PhD Candidate at the University of Tasmania, working with CSIRO's Data61 to investigate the ways machine learning methods can improve our ability to reliably and accurately identify and track objects in orbit using existing radio astronomy resources-particularly small fragment space debris.
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