Juliet & Romeo with Jesper Öqvist and Philip Olhager
Today we're joined by Jesper and Philip from Cognibotics, a Swedish robotics company that has (co-)developed something truly unique: Juliet, a statically-typed dialect of Julia designed specifically for real-time robot programming, along with its runtime system Romeo. Our guests share their personal journeys to Julia and explain how they've adapted the language for industrial robotics applications. They introduce us to Juliet's fascinating features, including static typing, real-time garbage collection, and perhaps most impressively, reversible robot programming that allows forward and backward program stepping for interactive debugging. The conversation explores how they use multiple dispatch for hardware abstraction across different robot backends and hardware targets, their partnership with Chinese robot manufacturer Estun for real-world deployment, and their approach to real-time systems programming. Jesper and Philip also discuss the technical challenges they've overcome, including optimization constraints and the limitations they've had to accept when adapting multiple dispatch for real-time environments. They share their plans for open source access, educational applications including course development at Lund University, and how their work bridges the gap between academic research and industrial automation.Jesper and Philip are developers at Cognibotics, a Swedish robotics company focused on advanced robot programming solutions. Their work centers around Juliet, a statically-typed dialect of Julia they've created specifically for real-time robot programming, paired with the Romeo runtime system. Cognibotics has formed partnerships with industrial robot manufacturers including Estun, bringing their innovative programming approach to real-world manufacturing applications. The company is also developing educational programs, including plans for courses at Lund University and beta program access for researchers and developers interested in real-time Julia applications.Cognibotics: https://www.cognibotics.com/enJuliet & Romeo: https://www.cognibotics.com/en/products/juliet-and-romeoLund University: https://www.lunduniversity.lu.se/Recorded on: 2025/06/06Hosts: Chris Rackauckas, Michael TiemannEditor: StaziFind us everywhere:https://juliadispatch.fmhttps://github.com/JuliaDispatch/https://www.youtube.com/@JuliaDispatchhttps://anchor.fm/s/fc63539c/podcast/rss
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DistributedWorkflows.jl with Firoozeh Dastur
In this episode, Chris Rackauckas and Michael Tiemann welcome back Firoozeh Dastur, a theoretical mathematician and PhD candidate from Germany working on tropical geometry. This marks the first time someone has returned to the Julia Dispatch podcast! Firoozeh shares her journey from Pakistan to Germany, her pivot from K3 surfaces to tropical geometry, and how she discovered Julia during the pandemic. She explains what tropical geometry is, her early struggles with Julia, and how the Julia Slack community became crucial to her learning process. The conversation then shifts to her work on computational algebra and HPC workflows, where she discusses the frustrations with existing HPC tools that led her to develop DistributedWorkflows.jl. She introduces us to Petri nets as an alternative to DAGs for managing cyclic workflows and explains how her package aims to make HPC accessible to everyone. Firoozeh also shares insights about overcoming perfectionism in open source development, the importance of releasing early (inspired by Airbnb's launch story), and her thoughts on differential equations as Turing complete systems.Firoozeh Dastur is a theoretical mathematician specializing in algebraic and tropical geometry with a strong focus on leveraging computer algebra systems for advanced mathematical research. Her other interests include high-performance computing (HPC) tools, with a particular goal of making distributed computing accessible to all domain scientists. As a passionate educator, Firoozeh is committed to fostering an inclusive learning environment that empowers the next generation of researchers and innovators. In her spare time, she develops Julia libraries that reflect her interests in distributed computing and computer algebra systems.DistributedWorkflows.jl: https://github.com/JuliaServices/DistributedWorkflows.jlJulia Slack community: https://julialang.org/slack/NEMO.jl: https://github.com/Nemocas/Nemo.jlOscar.jl: https://github.com/oscar-system/Oscar.jlSPACK: https://spack.io/Recorded on: 2025/05/20Hosts: Chris Rackauckas, Michael TiemannEditor: StaziFind us everywhere:https://juliadispatch.fmhttps://github.com/JuliaDispatch/https://www.youtube.com/@JuliaDispatchhttps://anchor.fm/s/fc63539c/podcast/rss
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This month in Julia world 2025-04 with Chris & Guillaume
Chris and Guillaume discuss the contents of the "This month in Julia world - 2025-08". We cover the upcoming JuliaCon Local Paris event, Julia 1.12 beta release updates, major compiler improvements with JuliaLowering.jl, performance optimization discoveries, and ecosystem growth with new packages like TestPicker.jl, BorrowChecker.jl, and AI integration tools. We also dive deep into technical discussions about optional modules, static arrays, and the ongoing focus on reducing latency across the Julia ecosystem.This month in Julia world - 2025-08: https://discourse.julialang.org/t/this-month-in-julia-world-2025-04/128859Recorded on: 2025/05/13Hosts: Chris Rackauckas, Guillaume DalleEditor: StaziFind us everywhere:https://juliadispatch.fmhttps://github.com/JuliaDispatch/https://www.youtube.com/@JuliaDispatchhttps://anchor.fm/s/fc63539c/podcast/rss
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Julia Health with Jacob Zelko
Good morning, good evening, good night, wherever you are in the world! Today we welcome Jacob Zelko, who takes us on a fascinating journey from his early days as a biomedical engineering student through his work at the CDC during the COVID-19 pandemic, and into his current exploration of applied category theory. Jacob shares how his pandemic response work led him to seek more fundamental approaches to public health problems, ultimately discovering category theory as a potential framework for composing different models and analyses. We also dive into his role as leader of the Julia Health Organization, his experience as a Twitch streamer known as "The Cedar Prince," and his vision for using Julia to bridge the gap between high-performance computing and accessible health research tools.Jacob Scott Zelko is a MS student in Applied Mathematics at Northeastern University (NEU) and a trainee of NEU's Roux Institute. Prior to this, he has worked for Georgia Tech Research Institute as a Health Data Analytics and Informatics Researcher and as a Research Engineer for the Centers for Disease Control Office of Science. In the Julia community, he is the leader of the JuliaHealth organization, a community of Julia developers who use the Julia programming language to improve medicine, health care, public health, and biomedical research. Additionally, he is the co-admin for the Julia Language's GSoC program and is the Community Manager for the AlgebraicJulia ecosystem.Julia Health Organization: https://juliahealth.org/Jacob's personal website: https://jacobzelko.com/Jacob's GitHub: https://github.com/TheCedarPrinceRecorded on: 2025/05/07Hosts: Chris Rackauckas, Michael TiemannEditor: StaziFind us everywhere:https://juliadispatch.fmhttps://github.com/JuliaDispatch/https://www.youtube.com/@JuliaDispatchhttps://anchor.fm/s/fc63539c/podcast/rss
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Julia Dispatch Podcast: March 2025 Newsletter Deep Dive with Chris Rackauckas & Stefan Krastanov
Join Chris Rackauckas and Stefan Krastanov as they explore the latest developments in the Julia programming language ecosystem from the March 2025 "This Month in Julia World" newsletter.Link to the newsletter: https://discourse.julialang.org/t/this-month-in-julia-world-2025-03/127821🔥 Key Topics Covered:Julia 1.12 Beta 1: Major features including experimental --trim for smaller binaries, stackless compiler improvements, and new threading defaultsBLAS Lazy Loading: Groundbreaking changes to reduce startup time and memory consumption by loading linear algebra libraries on-demandREPL Improvements: Complete overhaul of auto-completion using the new Julia syntax parser, fixing numerous long-standing bugsPerformance Enhancements: Invalidation reduction efforts, faster code coverage, and compiler optimizationsEcosystem Updates: Julia on Google Colab with TPU support, Documenter.jl public keyword filtering, AlgebraOfGraphics.jl v0.10🚀 Highlights:How the new --trim flag enables dramatically smaller Julia binariesWhy BLAS lazy loading is a game-changer for startup performanceThe transition from Lisp-based to pure Julia parsing infrastructureReal-world impact of compiler improvements on large symbolic expressionsJulia running natively on TPUs through Reactant.jl📅 Upcoming Events:JuliaCon Local Paris (October 2025)Quantum Information Science Summer School in Amherst (June 2025)RUST Julia Meetup in EindhovenPerfect for Julia developers, data scientists, and anyone interested in high-performance computing and the latest language developments. Whether you're a beginner or advanced user, you'll find valuable insights into Julia's evolving ecosystem.#Julia #Programming #HighPerformanceComputing #OpenSource #datascience Recorded on: 2025/04/24Hosts: Chris Rackauckas, Stefan KrastanovEditor: StaziFind us everywhere:https://juliadispatch.fmhttps://github.com/JuliaDispatch/https://www.youtube.com/@JuliaDispatchhttps://anchor.fm/s/fc63539c/podcast/rss
Julia Dispatch is a podcast about all that matters about Julia. We'll meet the wonderful people who contribute to the community and the language ecosystem. Hear their stories, learn what brought them to Julia, what excites them and how you could potentially follow in their footsteps.
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