AMD

www.amd.com

AMD is a semiconductor design innovator leading the next era of vivid digital experiences with its ground-breaking AMD Fusion Accelerated Processing Units (APUs). AMD’s graphics and computing technologies power a variety of solutions including PCs, game consoles and the servers that drive the Internet and businesses.

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“Bad Data, Bad Network, or: How to Create the Right Dataset for Your Application,” a Presentation from AMD

Mike Schmit, Director of Software Engineering for computer vision and machine learning at AMD, presents the "Bad Data, Bad Network, or: How to Create the Right Dataset for Your Application" tutorial at the May 2018 Embedded Vision Summit. When training deep neural networks, having the right training data is key. In this talk, Schmit explores …

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“From Feature Engineering to Network Engineering,” a Presentation from ShatterLine Labs and AMD

Auro Tripathy, Founding Principal at ShatterLine Labs (representing AMD), presents the "From Feature Engineering to Network Engineering" tutorial at the May 2018 Embedded Vision Summit. The availability of large labeled image datasets is tilting the balance in favor of “network engineering”instead of “feature engineering”. Hand-designed features dominated recognition tasks in the past, but now features …

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“The OpenVX Computer Vision and Neural Network Inference Library Standard for Portable, Efficient Code,” a Presentation from AMD

Radhakrishna Giduthuri, Software Architect at Advanced Micro Devices (AMD), presents the "OpenVX Computer Vision and Neural Network Inference Library Standard for Portable, Efficient Code" tutorial at the May 2018 Embedded Vision Summit. OpenVX is an industry-standard computer vision and neural network inference API designed for efficient implementation on a variety of embedded platforms. The API …

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Computer Vision in Surround View Applications

The ability to "stitch" together (offline or in real-time) multiple images taken simultaneously by multiple cameras and/or sequentially by a single camera, in both cases capturing varying viewpoints of a scene, is becoming an increasingly appealing (if not necessary) capability in an expanding variety of applications. High quality of results is a critical requirement, one …

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“How Computer Vision Is Accelerating the Future of Virtual Reality,” a Presentation from AMD

Allen Rush, Fellow at AMD, presents the "How Computer Vision Is Accelerating the Future of Virtual Reality" tutorial at the May 2016 Embedded Vision Summit. Virtual reality (VR) is the new focus for a wide variety of applications including entertainment, gaming, medical, science, and many others. The technology driving the VR user experience has advanced …

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Optimizing Computer Vision Applications Using OpenCL and GPUs

The substantial parallel processing resources available in modern graphics processors makes them a natural choice for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across GPUs and other heterogeneous processing elements within a system. In this article, we briefly review parallelism in computer vision applications, …

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“Understanding Adaptive Machine Learning Vision Algorithms and Implementing Them on GPUs and Heterogeneous Platforms,” a Presentation from AMD

Harris Gasparakis, OpenCV Manager at AMD, presents the "Understanding Adaptive Machine Learning Vision Algorithms and Implementing them on GPUs and Heterogeneous Platforms" tutorial at the May 2015 Embedded Vision Summit. Machine learning algorithms are pervasive in computer vision: from object detection to object tracking to full scene recognition, generative or discriminative learning dominates the space, …

“Understanding Adaptive Machine Learning Vision Algorithms and Implementing Them on GPUs and Heterogeneous Platforms,” a Presentation from AMD Read More +

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and …

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and …

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +

May 2014 Embedded Vision Summit Technical Presentation: “Computer Vision Powered by Heterogeneous System Architecture (HSA),” Harris Gasparakis, AMD

Harris Gasparakis, Ph.D., OpenCV manager at AMD, presents the "Computer Vision Powered by Heterogeneous System Architecture (HSA)" tutorial at the May 2014 Embedded Vision Summit. Gasparakis reviews the HSA vision and its current incarnation though OpenCL 2.0, and discusses its relevance and advantages for Computer Vision applications. HSA unifies CPU cores, GPU compute units, and …

May 2014 Embedded Vision Summit Technical Presentation: “Computer Vision Powered by Heterogeneous System Architecture (HSA),” Harris Gasparakis, AMD Read More +

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May 18 - 21, Santa Clara, California

The preeminent event for practical, deployable computer vision and visual AI, for product creators who want to bring visual intelligence to products.

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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