Trying to apply the free energy principle to engineering problems, where 'trying' means: minimizing free energy.bertdv.nl Eindhoven, NetherlandsJoined January 2014
What's even nicer: because our method injects priors locally, everything still works within @ReactiveBayes ' RxInfer.jl using message passing. Special thanks to my colleagues at @LazyDynamics for making this possible!
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?
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
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
New blog post by @noumenal_labs: “Grounded rewards in the era of experience: A commentary on ‘Welcome to the era of experience’”: noumenal.ai/post/grounded-…
Here’s the tl;dr:
• This post is a commentary on a new paper by Silver and Sutton, entitled “Welcome to the Era of…
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
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