Neural Networks tagged news

OpenVINO is a comprehensive toolkit for developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel hardware, maximizing performance. OpenVINO enables CNN-based deep learning inference on the edge; supports heterogeneous execution across computer vision accelerators—CPU, GPU, Intel Movidius Neural Compute Stick, and FPGA—using a common API; and includes optimized calls for OpenCV and OpenVX.

The Khronos Group NNEF Working Group Chair Peter McGuinness discusses fragmentation in the Machine Learning field. Machine learning capabilities are being added to everything from social media platforms, IoT devices and cameras to robots and cars. The pace of innovation is leading to fragmentation, and one potential consequence of that fragmentation is a risk of stalling. A universal transfer standard for neural networks will cut down time wasted on transfer and translation and provide a comprehensive, extensible and well-supported solution that all parts of the ecosystem can depend on. The Neural Network Exchange Format is one of two standards currently being developed to satisfy this need. Learn more about NNEF and how it aims to solve this issue.

The curriculum for the 2018 OpenVX Workshop at the Embedded Vision Summit in May has been finalized. The Khronos Group will be presenting a day-long hands-on workshop all about OpenVX cross-platform neural network acceleration API for embedded vision applications. Khronos has developed a new curriculum making this a do-not-miss tutorial with new information on computer vision algorithms for feature tracking and neural networks mapped to the graph API. The tutorials will be presented by speakers from Khronos member companies AMD, Axis Communications, Cadence and Codeplay. There will be hands-on practice sessions with the folks who created the OpenVX API to give participants a chance to solve real computer vision problems. Discussions will also include the OpenVX roadmap and what’s to come. Registration is now open but space is limited, so be sure not to wait too long.

Don’t miss this year’s OpenVX Workshop at Embedded Vision Summit on May 24th, 2018. Khronos will present a day-long hands-on workshop all about OpenVX cross-platform neural network acceleration API for embedded vision applications. We’ve developed a new curriculum so even if you attended in past years, this is a do-not-miss, jam-packed tutorial with new information on computer vision algorithms for feature tracking and neural networks mapped to the graph API. We’ll be doing a hands-on practice session that gives participants a chance to solve real computer vision problems using OpenVX with the folks who created the API. We’ll also be talking about the OpenVX roadmap and what’s to come.

Don’t miss this year’s OpenVX Workshop at Embedded Vision Summit. Khronos will present a day-long hands-on workshop all about OpenVX cross-platform neural network acceleration API for embedded vision applications. We’ve developed a new curriculum so even if you attended in past years, this is a do-not-miss, jam-packed tutorial with new information on computer vision algorithms for feature tracking and neural networks mapped to the graph API. We’ll be doing a hands-on practice session that gives participants a chance to solve real computer vision problems using OpenVX with the folks who created the API. We’ll also be talking about the OpenVX roadmap and what’s to come. Registration is now open. Early bird pricing ends April 10th.

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.

Buy your tickets today

Imagination Technologies announces the PowerVR CLDNN SDK for developing neural network applications on PowerVR GPUs. The neural network SDK makes it easy for developers to create Convolutional Neural Networks (CNNs) using PowerVR hardware. CLDNN sits on top of OpenCL making use of OpenCL constructs so it can be used alongside other custom OpenCL code. It uses standard OpenCL memory, so it can be used alongside standard OpenGL ES contexts. Learn more about CLDNN and download the SDK today.