🏆 Best Technical Paper at @iwai_ws! Recasting EFE planning as Variational Inference → sample-efficient Active Inference agents that actually run. Built in RxInfer. Won by @wouterwln. Paper: arxiv.org/abs/2508.02197 Code: github.com/biaslab/EFEasV… #IWAI2025 #RxInfer #Bayesian
🚀 We’re open-sourcing Gears.jl — a Julia package for precise task scheduling in simulation environments! ⚙️ Run timed, event-based, or ASAP jobs with flexible schedulers, multiple clocks, and multi-threading. 🔗 github.com/lazydynamics/G… #JuliaLang #OpenSource #Agents
Recently at @lazydynamics, we needed a fine-grained scheduler, coupled to the machine clock, to build our multi-scale agents. To streamline development, I built `Gears.jl`, available now at github.com/lazydynamics/G…. We chose to make it public, so let me know what you think!
We’re on Discord! 🎧🚀 Moving beyond GitHub discussions—join the new RxInfer server (by @LazyDynamics ) to chat, ask Qs, get updates, and plan hackathons. Jump in: discord.gg/UvMhrbQh #RxInfer #BayesianInference #ProbabilisticProgramming
We’re on Discord! You asked for better community engagement around RxInfer & RxInfer Pro—so here it is. Join us for Q&A, updates, hackathons & more. It’s quiet now, but let’s build it together. 📷 discord.gg/UvMhrbQh #RxInfer #BayesianInference #ProbabilisticProgramming
In Active Inference, a lot of time is spent on computing Expected Free Energy. What if we could tweak the generative model such that EFE can be minimised with traditional variational inference methods?
Amazing day in Eindhoven with our research advisor Kevin Murphy! 🧠⚡ Together with @ReactiveBayes, we explored agentic systems & RxInfer - pure research magic! Kevin's insights are already reshaping our future. Thanks for the wisdom & laughs! 🙏 #BayesianGang #RxInfer
Backed Trojan Robotics (Team 24090) at the FIRST® Tech Challenge European Premier Event in Eindhoven (July 1–5) . They hustled—coding, building, troubleshooting—and came away with 3rd in the Think Award. Proud to support their next steps. 🚀 #FTC #Robotics #STEM
🎉 Kevin Patrick Murphy joins our advisory board! Author of the definitive ML texts that shaped modern probabilistic AI. Excited to have his expertise guide our adaptive AI mission. lazydynamics.com/team
All of it powered by rxinfer.com lazydynamics.com/products/fores… lazydynamics.com/products/choic… lazydynamics.com/products/prysm…
My good friend @mjdramstead just casually dropped one of the clearest explanations of the Free Energy Principle (FEP) I've ever heard. A thread 🧵
rxinfer.com can be powerful for robotics - but requires deep probabilistic programming knowledge. What if there was a simpler way? LLM → RxInfer → Robotics = 𝗖𝘂𝗿𝘀𝗼𝗿 𝗳𝗼𝗿 𝗿𝗼𝗯𝗼𝘁𝗶𝗰𝘀? #RxInfer #Robotics #LLM #CursorForRobotics #AIRobotics
6 vote · Final results
Great visit with the @bayesgroup in Bremen! 🚀 So many inspiring discussions on dynamic systems & probabilistic methods. Huge thanks to Dmitry Vetrov & the whole team for the warm welcome. Excited for future collaborations! #Collaboration #Innovation #BayesianML
We’re incredibly proud to share that RxInfer.jl, initially developed by our co-founders, is now a @NumFOCUS Affiliated Project! 🎉
🎉 Big news: RxInfer.jl is now a @NumFOCUS Affiliated Project! Born from PhD research on reactive message passing, it’s now an open-source tool for fast, scalable Bayesian inference — and part of a world-class ecosystem #JuliaLang #BayesianInference #NumFOCUS #OpenSource
Probabilistic AI that’s fast, scalable, and Python-friendly. We built RxInfer in Julia for blazing speed — and made it easy to use from Python with RxInferServer. Smarter models. Real-time inference. No rewrites. Lets talk lazydynamics.com/contact
At @LazyDynamics : We’re testing a graphical model builder to speed things up. But here’s the debate: GUI vs Code-first — which should we double down on? GUI = easy onboarding Code = power & scalability What’s your pick? GUIfirst or CodeFirst?
🚀Behind the scenes at Lazy Dynamics: We are working on Cortex, our future reactive message-passing backend for RxInfer! Designed for fast, reliable, and asynchronous probabilistic inference on edge devices. Ideal for robotics, audio processing, and more. github.com/ReactiveBayes/…
🚀 What do Bayesian inference and skydiving have in common? Both demand trust under uncertainty. Our CTO @bvdmitri used RxInfer to clean up noisy pose estimates from his 500th skydive — showing how probabilistic inference fills the gaps where standard ML fails #Bayes #Skydiving
Probabilistic modeling in Julia just got smoother. With RxInfer + GraphPPL, you write models like regular code — loops, functions, submodels — and it handles the inference under the hood. From simple regressions to massive hierarchies. Check it out 👇 examples.rxinfer.com
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