Electronic Design has posted an overview around the latest NNEF 1.0 release and comparing ONNX and NNEF. "Khronos began talking about the possibility of a standard to reduce the threat of fragmentation about three months before it was officially announced in October 2016. The concept came from Khronos member AImotive, an automotive start-up trying to sell an entire software stack for autonomous driving as well as the custom chips to run it."
Are you interested in learning more about a Khronos Standard? Perhaps OpenCL FPGA development is on your to-do list. Khronos has a fairly extensive page of online and onsite training locations that cover Khronos Standards. Stop waiting and start learning.
CTA Members join the Khronos Group at the CTA Alliance reception at CES 2018 to network with technology consortia between 5 and 7 PM Pacific on Friday January 10, 2018. Neil Trevett, Khronos President, will be there to talk about the latest initiatives at Khronos and to provide information about Khronos Membership. Add to calendar!
In this Embedded Vision video, Neil Trevett, President of the Khronos Group, delivers the presentation "Update on Khronos Standards for Vision and Machine Learning" at the Embedded Vision Alliance's December 2017 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. A preview of the video is available, with the complete video required a free registration.
The Khronos Group is proud to announce that Pico Technology has joined as a Contributor Member. With operations in the China, United States, Europe, and Japan, Pico develops innovative VR solutions which enable our users to experience the best in VR entertainment, including Games, Videos and Interactive CGI experiences.Founded in 2015, Pico has over 300 team members around the world.
Plumeria Smart Creator 3.3 has been released. It features an error free visual programming experience with an infinite loop AI, a crash preventer, and a syntax error blocker. New to version 3.3 is a full 3D Physics motion engine with oriented bounding boxes and spheres. It also includes the Apple Attack Pack with three free games all made entirely in PlumeriaSC 3.3. Apple Attack, which has just been released, presents Grandma Smith who is trying to vacuum her apples from her apple trees before aliens destroy them.
As part of the ongoing work to ensure glTF meets the needs of the developer community the Khronos 3D Formats working group is working on a new glTF compression extension. The goal is to greatly improve transmission efficiency of texture assets while providing efficient, cross-platform transcoding into a wide range of GPU hardware-accelerated texture formats. There are many ways to get involved in helping glTF evolve to meet your needs. If your company wants a seat at the 3D Formats Working group, you are welcome to join Khronos. Also, anyone is welcome to follow, and contribute to, technical discussions on the public glTF GitHub repo. Learn more about this call for participation.
Codeplay has a very good write-up today on machine alternatives that don't use Neural Networks. The included code, SYCL-ML was developed as a proof of concept to show what a machine learning application using heterogeneous computing can look like and has been published as an open source project. The project was developed using SYCL and ComputeCpp, which is an implementation of SYCL developed by Codeplay.
Remograph, providers of products and services for the computer graphics, visual simulation and 3D modeling markets, announced the release of Remo 3D v2.7. Remo 3D is an effective OpenGL-based tool for creating and modifying 3D models intended for realtime visualization. The primary file format is OpenFlight. Remo 3D is currently available for Microsoft Windows 10/8/7 and Linux. This new version 2.7 of Remo 3D brings brings a greatly improved tool for modifying a texture UV mapping, support for new OpenSceneGraph 3.5.9 and other various fixes. The full list of new features and improvements can be found in the release notes on our website.
The Khronos Group announces the release of the Neural Network Exchange Format (NNEF™) 1.0 Provisional Specification for universal exchange of trained neural networks between training frameworks and inference engines. NNEF reduces machine learning deployment fragmentation by enabling a rich mix of neural network training tools and inference engines to be used by applications across a diverse range of devices and platforms. The release of NNEF 1.0 as a provisional specification enables feedback from the industry to be incorporated before the specification is finalized — comments and feedback are welcome on the NNEF GitHub repository. The goal of NNEF is to enable data scientists and engineers to easily transfer trained networks from their chosen training framework into a wide variety of inference engines. A stable, flexible and extensible standard that equipment manufacturers can rely on is critical for the widespread deployment of neural networks onto edge devices, and so NNEF encapsulates a complete description of the structure, operations and parameters of a trained neural network, independent of the training tools used to produce it and the inference engine used to execute it. Learn more about NNEF 1.0 Provisional Specification in the press release, or on the NNEF homepage.