The third article in our metaverse series focuses on conceptual and metadata models that enable interoperability among connected digital twins in an industrial metaverse.

The concept of digital twins, taken to its ultimate potential, can create digital representations of nearly everything. Yet, much of the value of digital twins depends on the ability of distributed, heterogeneous systems to interoperate.

On this episode of Embedded Insiders, we’re joined by Paul Butcher, Senior Software Engineer at AdaCore, to discuss how AI can make fuzz testing even more robust through the integration of techniques like symbolic execution and input-to-state correspondence that optimize test data sets against scenarios a system might encounter in the real world

Gartner[1] defines the Metaverse as “a collective virtual open space created by the convergence of virtually enhanced physical and digital reality. It’s physically persistent and provides enhanced immersive experiences.” IDC[2] defines the metaverse as an evolution of today’s internet that leverages mobile devices, augmented and virtual reality headsets and next-generation networks to create persistent and continuous user experiences with a strong sense of presence.

Neither are inaccurate. However, neither accurately portrays the depth, scale, and potential of the metaverse beyond its current, nascent form or its value beyond basic human entertainment as a solution to some of the world’s most pressing, complex problems.

Indeed, the metaverse represents a massive paradigm shift that promises to redefine how we approach solving problems through technology. The earliest and biggest opportunities to apply its concepts lie in industry, where leading organizations are already leveraging the building blocks of the metaverse – whether they know it or not – in the deployment of digital twins that will one day form systems of systems that comprise entire virtual worlds.

This is the first article in a series covering the industrial metaverse and digital twin technologies, applications, current industry activities, and the potential for standards. We encourage you to follow this series, comment, and ask questions. Participation and collaboration are critical as we embark on what may be the most significant inflection point in the history of technology.