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JuliaHub Unveils Dyad: A New Era in Hardware Development

In an age where software agility is the norm, JuliaHub has stepped up to bridge the gap between hardware design and modern software techniques with the launch of Dyad. This sophisticated system heralds a new era in the engineering landscape, allowing hardware development to keep pace with the rapid evolution of software methodologies.

Revolutionizing Hardware Design

At its core, Dyad merges traditional physics-based modeling with scientific machine learning (SciML) and generative AI, targeting applications that require reliable and interpretable design. According to Dr. A.S. Viral Shah, the CEO and co-creator of Julia, Dyad utilizes the extensive expertise cultivated within the Julia ecosystem, which boasts a global user base of over one million. By collaborating closely with clients in aerospace, semiconductor, manufacturing, and energy sectors, JuliaHub has meticulously crafted Dyad to solve the inadequacies of isolated tools that characterized past engineering practices.

Comprehensive Lifecycle Support

Dyad is designed to support the entire product lifecycle, offering a rich set of features that address the varied needs of engineers:

• - Text-Based Programming Interface & GUI: A sophisticated textual programming interface is seamlessly integrated with a user-friendly graphical interface, allowing engineers to switch between coding and visual design effortlessly.
• - AI-Assisted Workflows: The system includes intelligent agent workflows aimed at developing models, transforming legacy systems, and significantly enhancing engineers' productivity through a focus on product design.
• - Integrated Simulation and Tracking: Dyad leverages the vast landscape of existing analytical capabilities, including optimization and control systems, to strengthen simulation and tracking workflows.
• - Software Engineering Principles: It incorporates best practices for scalable and collaborative project development, ensuring consistency in modeling, analysis, and digital engineering.
• - Natives of SciML: Dyad features native primitives for model discovery and automatic completion of missing physics, facilitating smooth data integration into models used for digital twins.
• - Functional Mockup Units (FMUs): Users can import and export FMUs for interoperability within a wide range of digital engineering tools, accommodating both upward and downward integration.

All these features are underpinned by a commitment to maintain rigorous engineering standards while embracing the latest advancements in technology.

A Vision for the Future

Dr. A.S. Michael Tiller, a designer for Dyad at JuliaHub, expressed his aspiration to transform engineering tools. He stated, “Throughout my career, I have lamented the lag of engineering tools behind the software and technology advancements. Dyad represents our vision of reimagining modeling and simulation tools, capitalizing on the remarkable leaps in AI technology.”

Available under a special license, Dyad Studio allows engineers the opportunity to explore its features in detail, with free access for educational and non-commercial use, alongside commercial licensing options offered by JuliaHub.

About JuliaHub and Dyad

JuliaHub aims to empower those tackling the world's most complex scientific and technical challenges with cutting-edge tools operating in a secure, interruption-free environment. By merging advanced mathematical computing with machine learning expertise, JuliaHub enables scientific machine learning, digital twin modeling, and state-of-the-art simulation across key industries like pharmaceuticals, aerospace, and automotive.

Dyad uniquely combines cloud-native infrastructure, differentiable programming, and modular extensibility to support next-generation engineering workflows. It simplifies the development of continually improving digital models, marrying AI with scientific machine learning in a secure environment compatible with established engineering practices. Upcoming features include Dyad Builder, which offers a visual interface for rapid system-level model construction and analysis, affirming Dyad's status as a comprehensive AI-powered system modeling platform designed for the software-defined era.

To learn more about Dyad, please visit JuliaHub and access the developer resources at Help JuliaHub.