JuliaHub Launches Dyad: Empowering Hardware Development at the Speed of Software
Dr.
From fast prototyping to production deployment, Dyad supports the entire product lifecycle through:
- A textual programming interface that is first class for software development, and a Graphical User Interface (GUI) for engineers, with one-to-one mapping between the two interfaces
- Agentic AI workflows to develop models, convert models from legacy systems, and significantly improve engineer productivity through a focus on product design
- Integrated simulation and plotting workflows leveraging the rich ecosystem of analysis capabilities such as optimization and control systems already available via the Julia ecosystem
- Software engineering principles that help create scalable, collaborative projects centered around modeling, analysis and digital engineering
- SciML-native primitives that allow for model discovery, auto-completion of missing physics, and a seamless integration of field data into models for digital twins
- Importing and exporting of Functional Mock-up Units (FMUs) to interoperate with the rich ecosystem of upstream and downstream digital engineering tools
Dr.
About JuliaHub
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 industries.
About Dyad
Dyad brings together cloud-native infrastructure, differentiable programming, and modular extensibility to support next-generation engineering workflows. Dyad enables the development of continuously improving digital models by integrating AI with Scientific Machine Learning (SciML) in a safe, engineer-in-the-loop, environment. Dyad empowers teams to deploy smarter, faster, and more reliable systems without compromising the rigor of traditional engineering for over-the-air updates, predictive maintenance and real-time performance tuning.
CONTACT: | Deepak Vinchhi, COO |
EMAIL: |
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SOURCE JuliaHub
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