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Khronos Ecosystem tagged news

During this tutorial held at ISMAR 2021, four world-renowned leaders in standards development with a focus on Augmented Reality, presented on open standards for AR interoperability. Proceedings from the session are now available including presentations and video. A website for the ISMAR21 tutorial organized by Christine Perey with the support of Khronos Group, ETSI and NIST on the topic of Interoperability and Standards for AR is now live.

Discover how over 150 companies cooperate at the Khronos Group to create open, royalty-free standards that enable developers to access the power of the GPU to accelerate demanding compute, graphics, and AR/VR applications. This session includes the very latest updates on several Khronos cross-platform standards, including the new Analytic Rendering group for scientific visualization, OpenXR for portable AR and VR, the new-generation Vulkan GPU API, the SPIR-V standard intermediate language for parallel compute and graphics, glTF for efficient transmission of 3D assets, and OpenCL for parallel heterogeneous programming. The session also provides insights into how these open standards are supported across NVIDIA’s product families. This video and presentation and many more are available on the NVIDIA GTC website.

​Neil Trevett, President of the Khronos Group, has penned an article on the Embedded Computing Design website: ”Open Standards for Accelerating Embedded Vision and Inferencing: An Industry Overview”. The article discusses open interoperability standards and their role in reducing costs and barriers to using inferencing and vision acceleration in real-world products.

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, delivers the presentation “Current and Planned Standards for Computer Vision and Machine Learning” at the Embedded Vision Alliance’s December 2019 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization activities aimed at streamlining the deployment of embedded vision and AI.