Registration now open for the Khronos Standards for Neural Networks and Embedded Vision workshop at the Embedded Vision Summit in Santa Clara. Early bird pricing is now $99. This seminar is intended for engineers, researchers, and software developers who develop vision and neural network applications and want to benefit from transparent HW acceleration. Also, managers that want to get a general understanding of the structure and uses of Khronos standards.
VeriSilicon today announced significant milestones have been achieved for its versatile and highly scalable neural network inference engine family VIP8000. The fully programmable VIP8000 processors reach the performance and memory efficiency of dedicated fixed-function logic with the customizability and future proofing of full programmability in OpenCL, OpenVX, and a wide range of NN frameworks including NNEF. “The biggest thing to happen in the computer industry since the PC is AI and machine learning, it will truly revolutionize, empower, and improve our lives. It can be done in giant machines from IBM and Google, and in tiny chips made with VeriSilicon’s neural network processors,” said Dr. Jon Peddie, president Jon Peddie Research. “By 2020 we will wonder how we ever lived without our AI assistants,” he added.
NNEF and ONNX are two similar open formats to represent and interchange neural networks among deep learning frameworks and inference engines. At the core, both formats are based on a collection of often used operations from which networks can be built. Because of the similar goals of ONNX and NNEF, we often get asked for insights into what the differences are between the two. Read the Khronos blog to learn more about the similarities and differences between NNEF and ONNX.
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.
Neil Trevett, Khronos Group President and Radhakrishna Giduthuri, Software Architecture and Compute Performance Acceleration at AMD, spoke at two Khronos related events this past week. Neils presented was an update on the Khronos Standards for Vision and Machine Learning which covered Khronos Standards OpenVX, NNEF, OpenCL, SYCL and Vulkan. Radhakrishna presented Standards for Neural Networks Acceleration and Deployment covered Khronos Standards OpenVX and NNEF. The slides from both presentations are now online.
The Khronos Group will be holding a two hour tutorial at the Embedded Systems Conference '17 in December. Attendees will gain an understanding of the architecture of Khronos standards for computer vision and neural networks; getting fluent in actually using OpenVX and NNEF for real-time computer vision and neural network inference tasks.
Mozilla announced a new development program for Mixed Reality that will expand its work in Virtual Reality (VR) and Augmented Reality (AR) for the web. There is a draft WebXR API proposal, which uses WebGL, for providing access to both augmented and virtual reality devices.
On September 14th The Khronos Group held an online overview webinar on OpenVX 1.2. If you missed the webinar or wish to watch it again, the video and slides are now online. Be sure to register for the next Khronos Webinar "Mastering the Khronos Blender glTF 2.0 Exporter" on October 24th.
The Khronos Group is holding another Webinar on September 14th at 9:30AM PT. Engineers and managers interested in developing neural network inference engines and portable application that need portability across platforms and hardware should join in this free webinar. Speaking will be Radhakrishna (Radha) Giduthuri, a software architect at Advanced Micro Devices (AMD), Tomer Schwartz from Intel and Frank Brill, OpenVX Working Group Chair.
CVPR is soliciting proposals for workshops to be held together with the 2018 Computer Vision and Pattern Recognition Conference (CVPR 2018). The workshops will take place on June 18 and June 22 at the same venue as the main conference. Deadline is October 20th 2017. CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.