CIO Influence
CIO Influence News Machine Learning

JuliaHub Launches Dyad: Empowering Hardware Development at the Speed of Software

JuliaHub Launches Dyad: Empowering Hardware Development at the Speed of Software

JuliaHub logo

JuliaHub today unveiled Dyad, a powerful system that brings modern software agility to the world of hardware system design. A central theme behind our Dyad suite of tools is bringing together traditional physics-based modeling with Scientific Machine Learning (SciML) and Generative AI for model-based design in a way that’s safe, interpretable, and engineer-approved for safety-critical applications.

Also Read: Agentic AI: Revolutionizing Dynamic IT Workflows Beyond Rule-Based Automation

Dr. Viral Shah, JuliaHub CEO and Co-Creator of Julia, explains “Dyad leverages our significant experience with the Julia ecosystem that is trusted by over a million users worldwide. Working closely with customers across aerospace, semiconductors, manufacturing and energy industries, we have developed Dyad to overcome the challenges of yesterday’s siloed tools.”

Also read: AI in Cloud Data Warehousing: Enhancing Scalability and Performance Optimization

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. Michael Tiller, designer of Dyad at JuliaHub adds: “Throughout my career, I’ve lamented the fact that engineering tools seem to be decades behind the state-of-the-art in software and technology. Dyad is our attempt to reimagine modeling, simulation and analysis tools to leverage fully modern technologies and capitalize on the incredible advances in AI.”

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

Related posts

Velotix AI-Powered Data Access and Policy Management available in the Microsoft Azure Marketplace

PR Newswire

SHIELD expands global footprint to India launches engineering hub in Bengaluru

Falvey Insurance Group Selects Domo to Create Actionable Data Experiences

Business Wire