Building and Deploying a Predictive Maintenance Solution using Dyad - Event - JuliaHub Learn how to build and deploy a predictive maintenance solution for a water treatment plant using a digital twin built with Dyad and JuliaHub.

Stop unpredictable system failure! Learn how to use Kalman filters in Dyad for real-time fault detection and seamless cloud deployment. Join our technical deep-dive:
juliahub.com/events/build...

#Julialang #StateEstimation #KalmanFilter #DigitalTwin #PredictiveMaintenance #Dyad #webinar

Neural Bayesian Filtering Advances State Estimation for AI Systems

Neural Bayesian Filtering (NBF) offers compact belief embeddings for state estimation, showing improved tracking in three partially observable environments. Read more: getnews.me/neural-bayesian-filterin... #neuralbayesianfiltering #stateestimation

Stochastic Method Improves Continuous‑Time Estimation for Robots

A stochastic framework for state estimation in continuum robots, using factor-graph GP, was submitted on 1 Oct 2025 and offers linear-time computation despite sensor dropouts. getnews.me/stochastic-method-improv... #continuumrobots #stateestimation

New video: Adaptive estimation & control with Julia! Learn system identification with JuliaSim & LowLevelParticleFilters.jl. Watch now! youtu.be/Ip_prmA7QTU
#Julialang #JuliaSim #ControlSystems #Programming #AdaptiveControl #StateEstimation #ScientificComputing