Excited to announce: Lazy Dynamics is funding a new client-server infrastructure for RxInfer.jl to make probabilistic agents development accessible! Open source, free API access, Python/JS SDKs.

Turns out .ml doesn’t just stand for machine learning - it also means maybe lost :/ But hey, every project needs its "we lost our domain" story. Our just happened on Friday. Find us at rxinfer.com now. This time for real (probably).

New in RxInfer: VAEs for dynamics modeling 🚀 Elegant integration of AutoEncoderToolkit.jl VAEs with temporal prediction. Clean code, powerful results for complex sequential data! Try it: examples.rxinfer.com/categories/adv… #MachineLearning #VAE #JuliaLang

Did you know? 🤔 You can optimize parameters in RxInfer.jl using Optim.jl! Check out our latest example: examples.rxinfer.com/categories/adv… #JuliaLang #RxInfer #MachineLearning #BayesianInference

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

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

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

That is 🤯

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