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Processors

“Using High-level Synthesis to Bridge the Gap Between Deep Learning Frameworks and Custom Hardware Accelerators,” a Presentation from Mentor

Algorithms, Processors, Siemens, Software, Summit 2019, Tools, Videos /

Michael Fingeroff, HLS Technologist at Mentor, presents the “Using High-level Synthesis to Bridge the Gap Between Deep Learning Frameworks and Custom Hardware Accelerators” tutorial at the May 2019 Embedded Vision Summit. Recent years have seen an explosion in machine learning/AI algorithms with a corresponding need to use custom hardware for best performance and power efficiency. […]

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“Fundamental Security Challenges of Embedded Vision,” a Presentation from Synopsys

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Mike Borza, Principal Security Technologist at Synopsys, presents the “Fundamental Security Challenges of Embedded Vision” tutorial at the May 2019 Embedded Vision Summit. As facial recognition, surveillance and smart vehicles become an accepted part of our daily lives, product and chip designers are coming to grips with the business need to secure the data that

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“Introduction to Optics for Embedded Vision,” a Presentation from Jessica Gehlhar

Algorithms, Edge AI and Vision Alliance, Processors, Sensors, Software, Summit 2019, Tools, Videos /

Jessica Gehlhar, formerly an imaging engineer at Edmund Optics, presents the “Introduction to Optics for Embedded Vision” tutorial at the May 2019 Embedded Vision Summit. This talk provides an introduction to optics for embedded vision system and algorithm developers. Gehlhar begins by presenting fundamental imaging lens specifications and quality metrics such as MTF. She explains

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“Practical Approaches to Training Data Strategy: Bias, Legal and Ethical Considerations,” a Presentation from Samasource

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Audrey Jill Boguchwal, Senior Product Manager at Samasource, presents the “Practical Approaches to Training Data Strategy: Bias, Legal and Ethical Considerations” tutorial at the May 2019 Embedded Vision Summit. Recent McKinsey research cites the top five limitations that prevent companies from adopting AI technology. Training data strategy is a common thread. Companies face challenges obtaining

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“OpenCV: Current Status and Future Plans,” a Presentation from OpenCV.org

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2019, Tools, Videos /

Satya Mallick, Interim CEO of OpenCV.org, presents the “OpenCV: Current Status and Future Plans” tutorial at the May 2019 Embedded Vision Summit. With over two million downloads per week, OpenCV is the most popular open source computer vision library in the world. It implements over 2500 opt- imized algorithms, works on all major operating systems,

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“Improving the Safety and Performance of Automated Vehicles Through Precision Localization,” a Presentation from VSI Labs

Algorithms, Automotive, Edge AI and Vision Alliance, Processors, Sensors, Software, Summit 2019, Tools, Videos /

Phil Magney, founder of VSI Labs, presents the “Improving the Safety and Performance of Automated Vehicles Through Precision Localization” tutorial at the May 2019 Embedded Vision Summit. How does a self-driving car know where it is? Magney explains how autonomous vehicles localize themselves against their surroundings through the use of a variety of sensors along

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“AI Reliability Against Adversarial Inputs,” a Presentation from Intel

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Gokcen Cilingir, AI Software Architect, and Li Chen, Data Scientist and Research Scientist, both at Intel, presents the “AI Reliability Against Adversarial Inputs” tutorial at the May 2019 Embedded Vision Summit. As artificial intelligence solutions are becoming ubiquitous, the security and reliability of AI algorithms is becoming an important consideration and a key differentiator for

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“Distance Estimation Solutions for ADAS and Automated Driving,” a Presentation from AImotive

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Gergely Debreczeni, Chief Scientist at AImotive, presents the “Distance Estimation Solutions for ADAS and Automated Driving” tutorial at the May 2019 Embedded Vision Summit. Distance estimation is at the heart of automotive driver assistance systems (ADAS) and automated driving (AD). Simply stated, safe operation of vehicles requires robust distance estimation. Many different types of sensors

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“Accelerate Adoption of AI at the Edge with Easy to Use, Low-power Programmable Solutions,” a Presentation from Lattice Semiconductor

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Hussein Osman, Consumer Segment Manager at Lattice Semiconductor, presents the “Accelerate Adoption of AI at the Edge with Easy to Use, Low-power Programmable Solutions” tutorial at the May 2019 Embedded Vision Summit. In this talk, Osman shows why Lattice’s low-power FPGA devices, coupled with the sensAI software stack, are a compelling solution for implementation of

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“MediaTek’s Approach for Edge Intelligence,” a Presentation from MediaTek

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Bing Yu, Senior Technical Manager and Architect at MediaTek, presents the “MediaTek’s Approach for Edge Intelligence” tutorial at the May 2019 Embedded Vision Summit. MediaTek has incorporated an AI processing unit (APU) alongside the traditional CPU and GPU in its SoC designs for the next wave of smart client devices (smartphones, cameras, appliances, cars, etc.).

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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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