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“What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications,” a Presentation from Ryad B. Benosman

Ryad B. Benosman, Professor at the University of Pittsburgh Medical Center, Carnegie Mellon University and Sorbonne Universitas, presents the “What is Neuromorphic Event-based Computer Vision? Sensors, Theory and Applications” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Benosman introduces neuromorphic, event-based approaches for image sensing and processing. State-of-the-art image sensors suffer from […]

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“Words, Pictures, and Common Sense: Visual Question Answering,” a Presentation from Facebook and Georgia Tech

Devi Parikh, Research Scientist at Facebook AI Research (FAIR) and Assistant Professor at Georgia Tech, presents the “Words, Pictures, and Common Sense: Visual Question Answering” tutorial at the May 2018 Embedded Vision Summit. Wouldn’t it be nice if machines could understand content in images and communicate this understanding as effectively as humans? Such technology would

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OpenVX Implementations Deliver Robust Computer Vision Applications

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for

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OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for

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“Computer Vision for Industrial Inspection: From PCs to Embedded,” a Presentation from NET GmbH

Thomas Däubler, CTO of NET New Electronic Technology GmbH, presents the “Computer Vision for Industrial Inspection: The Evolution from PCs to Embedded Solutions” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Däubler introduces current industrial inspection computer vision applications and solutions, and explores how vision solutions are evolving for this market. In

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“Depth Cameras: A State-of-the-Art Overview,” a Presentation from Aquifi

Carlo Dal Mutto, CTO of Aquifi, presents the “Depth Cameras: A State-of-the-Art Overview” tutorial at the May 2018 Embedded Vision Summit. In the last few years, depth cameras have reached maturity and are being incorporated in an increasing variety of commercial products. Typical applications span gaming, contactless authentication in smartphones, AR/VR and IoT. State-of-the-art depth

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“At the Edge of AI At the Edge: Ultra-efficient AI on Low-power Compute Platforms,” a Presentation from Xnor.ai

Mohammad Rastegari, CTO of Xnor.ai, presents the “At the Edge of AI At the Edge: Ultra-efficient AI on Low-power Compute Platforms” tutorial at the May 2018 Embedded Vision Summit. Improvements in deep learning models have increased the demand for AI in several domains. These models demand massive amounts of computation and memory, so current AI

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“Designing Smarter, Safer Cars with Embedded Vision Using EV Processor Cores,” a Presentation from Synopsys

Fergus Casey, R&D Director for ARC Processors at Synopsys, presents the “Designing Smarter, Safer Cars with Embedded Vision Using Synopsys EV Processor Cores” tutorial at the May 2018 Embedded Vision Summit. Consumers, the automotive industry and government regulators are requiring greater levels of automotive functional safety with each new generation of cars. Embedded vision, using

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“New Deep Learning Techniques for Embedded Systems,” a Presentation from Synopsys

Tom Michiels, System Architect for Embedded Vision at Synopsys, presents the “New Deep Learning Techniques for Embedded Systems” tutorial at the May 2018 Embedded Vision Summit. In the past few years, the application domain of deep learning has rapidly expanded. Constant innovation has improved the accuracy and speed of learning and inference. Many techniques are

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“Project Trillium: A New Suite of Machine Learning IP,” a Presentation from Arm

Steve Steele, Director of Platforms in the Machine Learning Group at Arm, presents the “Project Trillium: A New Suite of Machine Learning IP from Arm” tutorial at the May 2018 Embedded Vision Summit. Machine learning processing engines today tend to focus on specific device classes or the needs of individual sectors. Arm’s Project Trillium changes

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