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Allied Vision and Antmicro Announce Partnership to Provide Joint Offering for Modular Embedded Vision and Edge AI Systems

Allied Vision, News /

Stadtroda, Germany, July 25, 2019 – Allied Vision, a global provider of industrial camera solutions and Antmicro, a software-driven embedded technology company developing advanced open-source based edge computing systems, have announced a strategic partnership to drive their common goals in building complex and portable vision systems. The announcement is made to underline the ongoing collaboration […]

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“Designing Home Monitoring Cameras for Scale,” a Presentation from Ring

Algorithms & Models, Edge AI and Vision Alliance, Face Detection, Face Recognition, Privacy, Processors, Security, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Ilya Brailovskiy, Principal Engineer, and Changsoo Jeong, Head of Algorithm, both of Ring, present the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit. In this talk, Brailovskiy and Jeong discuss how Ring designs smart home video cameras to make neighborhoods safer. In particular, they focus on three key

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Algolux and Mila Enter Artificial Intelligence Research Partnership for Computer Vision

Algolux, News /

Autonomous Computer Vision Leader and AI Research Consortium to Advance Deep Learning Computer Vision Technologies Montreal, Canada – July 24, 2019 – Algolux, the leading provider of software for autonomous computer vision, has announced a research partnership with Mila, an academic research institution dedicated to advancing artificial intelligence (AI), with a strong focus on deep

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Exploring Neuromorphic Computing for AI: Why Spikes? (Part One)

Blog Posts, Intel /

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. AI is now fast defining the next major era of computing, thanks to the pioneering work of David Rumelhart, Geoffrey Hinton, Yann LeCun, Yoshua Bengio, and many others over the past few decades. Yet ongoing progress in

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“Low-power Computer Vision: Status, Challenges and Opportunities,” a Presentation from Purdue University

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

Professor Yung-Hsiang Lu of Purdue University presents the "Low-power Computer Vision: Status, Challenges and Opportunities" tutorial at the May 2019 Embedded Vision Summit. Energy efficiency plays a crucial role in making computer vision successful in battery-powered systems, including drones, mobile phones and autonomous robots. Since 2015, IEEE has been organizing an annual competition on low-power

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“Optimizing SSD Object Detection for Low-power Devices,” a Presentation from Allegro

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

Moses Guttmann, CTO and founder of Allegro, presents the "Optimizing SSD Object Detection for Low-power Devices" tutorial at the May 2019 Embedded Vision Summit. Deep learning-based computer vision models have gained traction in applications requiring object detection, thanks to their accuracy and flexibility. For deployment on low-power hardware, single-shot detection (SSD) models are attractive due

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“What’s Changing in Autonomous Vehicle Investments Worldwide — and Why?,” a Presentation from Woodside Capital Partners

Algorithms & Models, Automotive, Edge AI and Vision Alliance, Market Analysis, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Rudy Burger, Managing Partner at Woodside Capital Partners, presents the "What’s Changing in Autonomous Vehicle Investments Worldwide—and Why?" tutorial at the May 2019 Embedded Vision Summit. So far, over $100B has been invested by industry into the development of autonomous vehicles (AVs), and the pace of investment has recently accelerated. In this talk, Burger presents

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How Xnor.ai Managed to Squeeze a Deep Neural Network onto a $20 Wyze Camera

Articles, Technical Articles, Xnor.ai /

This article was originally published by Xnor.ai. It is reprinted here with the permission of Xnor.ai. Wyze, the provider of affordable smart home technologies, came to us with a problem — can you help reduce the endless, unnecessary notifications for our camera users? At the time, Wyze was sending their users notifications based on motion

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“Making Cars That See — Failure is Not an Option,” a Presentation from Synopsys

Algorithms & Models, Automotive, Processors, Sensors and Cameras, Software, Summit 2019, Synopsys, Tools, Videos /

Burkhard Huhnke, Vice President of Automotive Strategy for Synopsys, presents the "Making Cars That See—Failure is Not an Option" tutorial at the May 2019 Embedded Vision Summit. Drivers are the biggest source of uncertainty in the operation of cars. Computer vision is helping to eliminate human error and make the roads safer. But 14 years

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“Three Key Factors for Successful AI Projects,” a Presentation from MathWorks

Algorithms & Models, MathWorks, Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Bruce Tannenbaum, Technical Marketing Manager for AI applications at MathWorks, presents the "Three Key Factors for Successful AI Projects" tutorial at the May 2019 Embedded Vision Summit. AI is transforming the products we build and the way we do business. AI using images and video is already at work in our smart home devices, our

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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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