Technical Articles

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The Caffe Deep Learning Framework: An Interview with the Core Developers

Spend any amount of time researching the topic of deep learning and you'll inevitably come across the term Caffe. This convolutional neural network (CNN) framework, originally named DeCAF, was initially developed by Yangqing Jia (now a research scientist at Google), during his Ph.D. program at the University of California, Berkeley. It is now maintained by […]

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New Competition Aims to Spur Energy-efficient Computer Vision Innovation

Powerful vision processors have existed for some time now, as exemplified by supercomputers and the longstanding academic research on computer vision. What's recently changed are the "low-cost" and "energy-efficient" aspects of vision processing, along with evolutionary (and sometimes revolutionary) accuracy and other improvements in the algorithms running on the processors. Well-known image classification competitions like

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The PowerVR Imaging Framework for Android

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 previous article about heterogeneous architectures, I identified memory bandwidth as the main bottleneck for implementing power-efficient algorithms for computer vision. Luckily, Imagination has created an

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Efficient Implementation of Neural Network Systems Built on FPGAs, Programmed with OpenCL

This technical article was originally published at Altera's website. It is reprinted here with the permission of Altera. Deep learning neural network systems currently provide the best solution to many large computing problems for image recognition and natural language processing. Neural networks are inspired by biological systems, in particular the human brain; they use conventional

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How Computer Vision is Re-shaping the Four Key Growth Segments of 2016

Computer vision and computational photography are intrinsic aspects of the Internet of Things (IoT), where cameras and sensors reign supreme. This article provides an overview of how computer vision technology is transforming the most critical markets in 2016: mobile, automotive, security and surveillance, and drones. Mobile The digital cameras in smartphones are one of their

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Using Convolutional Neural Networks for Image Recognition

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

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Increasing Performance and Power Efficiency in Heterogeneous Software

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. Heterogeneous architectures in embedded computing are fast becoming a reality – we indeed see many leading IP and semiconductor companies today building heterogeneous computing hardware. In the

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Paving the Way to Self-Driving Cars with Advanced Driver Assistance Systems

This article was originally published at Texas Instruments' website (PDF). It is reprinted here with the permission of Texas Instruments. Recent publicity has attracted the public eye to the development of automated vehicles, especially Google’s experimental cars that have logged thousands of self-driven miles with minimal help from human drivers. These events are truly impressive,

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A Quick Guide to Writing OpenCL Kernels for PowerVR Rogue GPUs

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. Firstly, I’d like to give you an overview of OpenCL programming fundamentals using a basic program, followed by an explanation of OpenCL execution on Rogue GPUs. This

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