JuliaHub hosted a hands-on walkthrough for Model-Based Engineering and Physical Systems Engineering featuring Dr. Fredrik Bagge Carlson on a Dyad to build a 3D multibody model, design and optimize the controller in simulation, generate deployable C code, and run it on a Raspberry Pi.
Published
Signal category
Presence & Recognition
Quote
“Join Dr. Fredrik Bagge Carlson (Director of Engineering, JuliaHub) for a hands-on walkthrough using a Dyad from JuilaHub to build a 3D multibody model, design and optimize the controller in simulation, generate deployable C code, and run it on a Raspberry Pi”
— Barry Christenson|JuliaHub team
Company
JuliaHub
A Unified Ecosystem for Science and Engineering.
- Industry
- Software Development
- Location
- Cambridge, US
- Company size
- 104 employees
JuliaHub’s mission is to empower those tackling the world’s toughest scientific and technical challenges with cutting-edge tools in a seamless, secure environment. JuliaHub combines advanced mathematical computing and machine learning expertise to enable scientific machine learning (SciML) techniques, Digital Twin modeling, and next-generation modeling and simulation in pharmaceutical, aerospace, automotive and other industrial verticals. Our product Dyad (formerly JuliaSim) is a leading solution for multi-physics modeling and simulation, combining traditional techniques with modern SciML approaches to tackle complex engineering challenges. Our platform product JuliaHub is a cloud-based offering for developing, deploying, and scaling Julia programs as well as for managing enterprise requirements around governance, security, traceability, reproducibility and compliance. As an FDA CFR 11-compliant platform, JuliaHub provides a unified environment for pharmacometrics, enabling seamless workflows for pharmaceutical modeling and drug development.
Founded 2015