This article was originally published at Cadence's website. It is reprinted here with the permission of Cadence. Convolutional neural networks (CNNs) are widely used in pattern- and image-recognition problems as they have a number of advantages compared to other techniques. This white paper covers the basics of CNNs including a description of the various layers […]
Using Convolutional Neural Networks for Image Recognition Read More +
This introductory article discusses implementing machine learning algorithms on FPGAs, achieving significant performance improvements at much lower power. Newly available middleware IP, together with the SDAccel programming environment, enables software developers to implement convolutional neural networks (CNNs) in C/C++, leveraging an OpenCL platform model. Machine Learning in the Cloud: A Tipping Point The transformation of
Accelerating Machine Learning: Implementing Deep Neural Networks on FPGAs Read More +
The substantial resources available in modern programmable logic devices, in some cases including embedded processor cores, makes them strong candidates for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across programmable logic fabric and other heterogeneous processing elements within a system. As mentioned in the
OpenCL Streamlines FPGA Acceleration of Computer Vision Read More +
Herman Yau, Co-Founder and CEO of Tend, presents the "Vision-as-a-Service: Democratization of Vision for Consumers and Businesses" tutorial at the May 2015 Embedded Vision Summit. Hundreds of millions of video cameras are installed around the world—in businesses, homes, and public spaces—but most of them provide limited insights. Installing new, more intelligent cameras requires massive deployments
Andy Chang, Senior Manager of Academic Research at National Instruments, presents the "Enabling the Factory of the Future with Embedded Vision" tutorial at the May 2015 Embedded Vision Summit. Manufacturing has changed dramatically over the past few decades and is now changing even faster. Embedded vision is a key enabler for improved efficiency, quality, flexibility,
Simon Morris, CEO of CogniVue, presents the "Trends, Challenges and Opportunities in Vision-Based Automotive Safety and Autonomous Driving Systems" tutorial at the May 2015 Embedded Vision Summit. The automotive industry has embraced embedded vision as a key safety technology. Many car models today ship with vision-based safety features such as forward collision avoidance and lane
Nagesh Gupta, CEO and Founder of Auviz Systems, presents the "Trade-offs in Implementing Deep Neural Networks on FPGAs" tutorial at the May 2015 Embedded Vision Summit. Video and images are a key part of Internet traffic—think of all the data generated by social networking sites such as Facebook and Instagram—and this trend continues to grow.
Michael Tusch, Founder and CEO of Apical, presents the "Using Vision to Create Smarter Consumer Devices with Improved Privacy" tutorial at the May 2015 Embedded Vision Summit. Machines are valuable primarily due to their ability interact with people and with the physical world. But today, most of the consumer devices in the “Internet of Things”
Dr. Ren Wu, former distinguished scientist at Baidu's Institute of Deep Learning (IDL), presents the keynote talk, "Enabling Ubiquitous Visual Intelligence Through Deep Learning," at the May 2015 Embedded Vision Summit. Deep learning techniques have been making headlines lately in computer vision research. Using techniques inspired by the human brain, deep learning employs massive replication
Jeff Bier, Founder of the Embedded Vision Alliance and President and Co-Founder of BDTI, presents the introductory remarks at the May 2015 Embedded Vision Summit. Jeff provides an overview of the embedded vision market opportunity, challenges, solutions and trends. He also introduces the Embedded Vision Alliance and the resources it offers for both product creators
May 2015 Embedded Vision Summit Introductory Presentation 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.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
