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Processors

“Enabling Automated Design of Computationally Efficient Deep Neural Networks,” a Presentation from UC Berkeley

Bichen Wu, Graduate Student Researcher in the EECS Department at the University of California, Berkeley, presents the “Enabling Automated Design of Computationally Efficient Deep Neural Networks” tutorial at the May 2019 Embedded Vision Summit. Efficient deep neural networks are increasingly important in the age of AIoT (AI + IoT), in which people hope to deploy […]

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“The Reality of Spatial Computing: What’s Working in 2019 (And Where It Goes From Here),” a Presentation from Digi-Capital

Tim Merel, Managing Director at Digi-Capital, presents the "Reality of Spatial Computing: What’s Working in 2019 (And Where It Goes From Here)" tutorial at the May 2019 Embedded Vision Summit. This presentation gives you hard data and lessons learned on what is and isn’t working in augmented reality and virtual reality today, as well as

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“Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver,” a Presentation from Allied Vision

Sebastian Günther, Host Systems Competence Center Lead at Allied Vision Technologies, presents the "Accessing Advanced Image Processing Feature Sets with Alvium Cameras Using a V4L2/GenICam Hybrid Driver" tutorial at the May 2019 Embedded Vision Summit. Camera device drivers are a critical component for all embedded vision systems, providing an essential interface between the camera and

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“An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs,” a Presentation from Xperi

Petronel Bigioi, CTO for Imaging at Xperi, presents the "An Ultra-low-power Multi-core Engine for Inference on Encrypted DNNs" tutorial at the May 2019 Embedded Vision Summit. Neural network encryption is a useful method to secure a company’s IP. This presentation focuses on the design details of an ultra-low-power, scalable neural network core capable of performing

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“Using TensorFlow Lite to Deploy Deep Learning on Cortex-M Microcontrollers,” a Presentation from Google

Pete Warden, Staff Research Engineer and TensorFlow Lite development lead at Google, presents the "Using TensorFlow Lite to Deploy Deep Learning on Cortex-M Microcontrollers" tutorial at the May 2019 Embedded Vision Summit. Is it possible to deploy deep learning models on low-cost, low-power microcontrollers? While it may be surprising, the answer is a definite “yes”!

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“Making the Invisible Visible: Within Our Bodies, the World Around Us and Beyond,” a Keynote Presentation from the MIT Media Lab

Ramesh Raskar, Associate Professor in the MIT Media Lab, presents the "Making the Invisible Visible: Within Our Bodies, the World Around Us and Beyond" tutorial at the May 2019 Embedded Vision Summit. For more information, please see http://cameraculture.media.mit.edu, http://www.media.mit.edu/~raskar and https://professional.mit.edu/programs/short-programs/advances-imaging. The invention of X-ray imaging enabled us to see inside our bodies. The invention

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“Visual AI Applications and Technologies: Trends and Opportunities,” a Presentation from the Embedded Vision Alliance

Jeff Bier, Founder of the Embedded Vision Alliance and Co-founder and President of BDTI, presents the "Visual AI Applications and Technologies: Trends and Opportunities" tutorial at the May 2019 Embedded Vision Summit. We’re entering a golden age of computer vision. Rapid advances in enabling technologies, such as algorithms and processors, are making it easier than

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“The Future of Computer Vision and Machine Learning is Tiny,” a Keynote Presentation from Google

Pete Warden, Staff Research Engineer and TensorFlow Lite development lead at Google, presents the "Future of Computer Vision and Machine Learning is Tiny" tutorial at the May 2019 Embedded Vision Summit. There are 150 billion embedded processors in the world — more than twenty for every person on earth — and this number grows by

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May 2019 Embedded Vision Summit Introductory Presentation (Day 2)

Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2019 Embedded Vision Summit on May 22, 2019 (Day 2). Bier provides an overview of the embedded vision market opportunity, challenges, solutions and trends, in the context of reviewing the presentation highlights and take-aways from the previous day. He also introduces the

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May 2019 Embedded Vision Summit Introductory Presentation (Day 1)

Jeff Bier, Founder of the Embedded Vision Alliance, welcomes attendees to the May 2019 Embedded Vision Summit on May 21, 2019 (Day 1). Bier provides an overview of the embedded vision market opportunity, challenges, solutions and trends. He also introduces the Embedded Vision Alliance and the resources it offers for both product creators and potential

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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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