Kiriti Nagesh Gowda, Staff Engineer at AMD, presents the “OpenVX 1.3: An Open Standard for Computer Vision Software Acceleration” tutorial at the May 2021 Embedded Vision Summit. OpenVX is a popular computer vision and machine learning API standard developed by the Khronos Group to be a novel, open and royalty-free standard for cross-platform acceleration. In […]
Rajy Rawther, PMTS Software Architect at AMD, presents the “Introduction to Data Augmentation Techniques in ML Frameworks” tutorial at the May 2021 Embedded Vision Summit. Data augmentation is a set of techniques that expand the diversity of data available for training machine learning models by generating new data from existing data. This talk introduces different
September 2, 2021 – As a prelude to the IAA Mobility 2021 in Munich, the Finnish deep technology company Unikie and the automotive service provider Valmet Automotive, are developing an innovative logistics solution at the car plant site in Uusikaupunki, Finland. Testing and validating the Automated Factory Parking technology, developed by Unikie, at a business-critical factory environment is
Paul Turner, Vice President for Industry 4.0 Applications & Analytics at Stanley Black & Decker, talks with Laila Partridge, Managing Director at STANLEY+Techstars Accelerator, for the “Using Vision Systems to Enable Dynamic Workflows in Manufacturing” interview at the May 2021 Embedded Vision Summit. Enabling dynamic manufacturing workflows from the supply chain to production and customer
Christopher Rommel, Executive Vice President for IoT and Industrial Technology at VDC Research, moderates the “Can You Make Production ML Work Without Dozens of PhDs?” Expert Panel at the May 2021 Embedded Vision Summit. Other panelists include Zach Shelby, Co-founder and CEO of Edge Impulse; Jason Lavene, Senior Principal Architect at Keurig Dr. Pepper; and
James Imber, Senior Research Engineer at Imagination Technologies, presents the “High-fidelity Conversion of Floating-point Networks for Low-precision Inference Using Distillation with Limited Data” tutorial at the May 2021 Embedded Vision Summit. When converting floating-point networks to low-precision equivalents for high-performance inference, the primary objective is to maximally compress the network whilst maintaining fidelity to the
Steve Teig, CEO of Perceive, presents the “Facing Up to Bias” tutorial at the May 2021 Embedded Vision Summit. Today’s face recognition networks identify white men correctly more often than white women or non-white people. The use of these models can manifest racism, sexism, and other troubling forms of discrimination. There are also publications suggesting
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Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Getting Started with Vision AI Model Training” tutorial at the May 2021 Embedded Vision Summit. In many modern vision and graphics applications, deep neural networks (DNNs) enable state-of-the-art performance for tasks like image classification, object detection and segmentation, quality enhancement and even new content generation. In this
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Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and President of the Khronos Group, presents the “Khronos Group Standards: Powering the Future of Embedded Vision” tutorial at the May 2021 Embedded Vision Summit. Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning,
Evan Juras, Computer Vision Engineer at BDTI, presents the “Tools and Strategies for Quickly Building Effective Image Datasets,” tutorial at the May 2021 Embedded Vision Summit. A common pain point when using machine learning for computer vision is the need to manually curate and label large quantities of training images. Depending on the application, thousands
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