Metaverse for Education — Panel 1 — 10:15 – 11:15 AM

Abstract: Metaverse and generative AI provide unparalleled opportunities to couple specifically trained expert large language models (LLM’s) to Avatars in virtual and Augmented Reality learning environments. When combined with pedagogies such as Project and Case-based learning we see the potential to customise Metaverse learning spaces populated by expert avatars and intelligent artefacts which are powered by back-end LLM technologies. Imagine the educational potential of learning in a fully immersive Metaverse scenario where you can interact with both other human agents to develop new engineering solutions, consulting design expert avatars, interacting with intelligent virtual robotic devices, and manipulating virtual equipment through haptic feedback. These educational scenarios are already on the near horizon and will be a reality in the next decade. This panel explores these Metaverse powered education futures from a variety of perspectives ranging from the disciplinary to the philosophical.

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Digital Twins and the Metaverse — Panel 2 — 1:15 – 2:15 PM

Abstract: Digital twins have emerged as a way to create virtual prototypes of physical artifacts, which may be used in a variety of contexts. Physical artifacts include airplanes, factories, or even static objects, such as bridges or dams. Digital twin helps monitor changes and assist in predicting planned or unplanned behaviors of physical objects. Digital Twins maintain living digital models of physical systems that enable data-driven analysis and application of AI to better manage selective aspects of the physical artifacts for improved performance and sustainability. In this panel, we discuss digital twins for data centers, computers, and other computing elements.

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Technological Challenges to enable the Emerging Metaverse — Panel 3 — 3:30 – 4:30 PM

Abstract: The metaverse revolution necessitates the need for extremely high computation in conjunction with increased reliability, availability and serviceability to support the new AI use cases and to enable a powerful and seamless user experience. Key use cases and requirements include real time high-resolution multimedia processing, end-to-end infrastructure, power-performance optimization, security-safety-privacy, lifecycle reliability for mission critical applications as well as teleporting and digital twins.

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Technological Challenges to enable the Emerging Metaverse — Panel 4 — 4:45 – 5:45 PM

Abstract: The success of the Metaverse requires the creation and widespread delivery of rich, new, immersive content to various types of devices, including new wearables. Building systems that support interoperability between content providers, communication networks, apps, and devices requires the specification of various new standards. This work spans across multiple Standards Development Organizations, such as Khronos, 3GPP, MPEG, IEEE, and coordinating organizations such as the Metaverse Standards Forum. Our panel of experts will describe the standards work of these organizations and the on-going challenges to building a fully open and interoperable Metaverse.

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