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
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
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
LLMs were a leap — but the next gen of AI won’t just generate. It will adapt in real-time.
At Lazy Dynamics, we’re building reactive AI with RxInfer: real-time Bayesian inference for uncertain, dynamic environments.
The future of AI is reactive.
#EdgeAI#Bayesian#RxInfer#AI
Dutch weather doesn’t play nice—gusty, wet, unpredictable. But our drone doesn’t mind. With RxInferPro lazydynamics.com/products, it adapts to wind on the fly, no precomputed model, just real-time Bayesian inference. Talk to us if you're interested.
#RxInfer#Robotics#BayesianAI
Bayesian Inference in the browser? Yup. With new RxInfer TypeScript SDK, enabling real-time, client-side probabilistic reasoning. Think: adaptive UIs, privacy-first personalization and more. Interested in bringing Bayesian intelligence to the frontend? Let's talk.
#RxInfer#WebAI
Neuroscientist Dr. Jeff Beck from @noumenal_labs discusses the fundamental nature of representation, understanding, and modelling, comparing biological intelligence with current artificial intelligence.
Jeff argues that *how* information is represented dictates predictive…
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