This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. In a previously published article, I offered a quick guide to writing OpenCL kernels for PowerVR Rogue GPUs; this sets the scene for what follows next: a […]
Heterogeneous Compute Case Study: Image Convolution Filtering Read More +
Stefan Heck of Nauto delivers the presentation, "A Vision of Safety," at the December 2015 Embedded Vision Alliance Member Meeting. Heck explain how his innovative start-up is using embedded vision to bring improved safety to existing vehicles, reducing insurance costs in the process.
“A Vision of Safety,” a Presentation from Nauto Read More +
Xilinx is actively engaged with more than one hundred customers on the UltraScale+ portfolio with design tools, and has already shipped devices and/or boards to over sixty of these customers SAN JOSE, Calif., January 28, 2016 – Xilinx, Inc. (NASDAQ:XLNX) today announced first customer shipment of the Virtex® UltraScale+TM FPGA, the industry’s first high-end FinFET
Xilinx Ships 16nm Virtex UltraScale+ Devices; Industry’s First High-End FinFET FPGAs Read More +
This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. This is the first article of three that will focus on the implementation of Fast Fourier Transform (FFT) using
Latest Myriad 2 vision processing platform selected by Google to accelerate adoption of machine learning applications in mobile devices SAN MATEO, Calif. –January 27th, 2016 – Movidius, the leader in low-power machine vision for connected devices, today announced that it is working with Google to accelerate the adoption of deep learning within mobile devices. As
Technical seminar provides detailed, hands-on education on the popular Caffe open-source convolutional neural network framework. Walnut Creek, CA — January 27, 2016 — On February 22, 2016, the primary Caffe developers from U.C. Berkeley's Vision and Learning Center will present a full-day detailed technical tutorial focused on convolutional neural networks for computer vision and the
Upcoming Live Tutorial Covers Deep Learning for Vision Processing Read More +
Partnership enables low power silicon implementations of video and still image enhancement algorithms. Hannover, Germany and Austin, Texas, January 26, 2016 – Videantis and Almalence today announced their partnership to bring higher quality image and video capture to the automotive, mobile, drones, and sports cameras markets. Almalence licenses image enhancement algorithms that increase resolution, improve
Videantis Partners with Almalence For Higher Quality Imaging Read More +
SANTA CLARA, Calif., U.S., January 6, 2016 – VeriSilicon Holdings Co., Ltd. (VeriSilicon), a Silicon Platform as a Service (SiPaaS™) company, today announced that it has successfully closed its previously announced acquisition of Vivante Corporation (Vivante). The all-stock transaction significantly expands VeriSilicon’s robust IP platform for the automotive, IoT, mobility, and consumer markets. "This acquisition
VeriSilicon Completes Acquisition of Vivante Read More +
On February 9 beginning at 9:30AM PT, Alliance member company Cadence is hosting a Embedded Neural Network Summit, "Extending Deep Learning into Mass-Market Silicon," which will provide an introduction to convolutional neural network applications ranging from image, pattern, and speech recognition to natural language processing and video analysis, in application areas including mobile, automotive, consumer
Cadence Day-Long Seminar Discusses Deep Learning in Embedded Systems Read More +
Last May, Lina Karam of Arizona State University presented at an Embedded Vision Alliance Member Meeting on the upcoming IEEE ICIP (International Conference on Image Processing), which takes place September 25-28 in Phoenix, Arizona. Karam is an IEEE Fellow and the Director of Arizona State University's Image, Video & Usability (IVU) Lab. A video of
The IEEE ICIP’s Visual Innovation Award: Get Your Nomination Candidate On Board Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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