Edge AI and Vision Alliance

May 2019 Embedded Vision Summit Vision Tank Competition Finalist Presentations

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

Bo Zhu, CTO and Co-founder of BlinkAI Technologies, Dwight Linden, COO and Co-founder of Entropix, Austin Miller, Robotics Engineer at Robotic Materials, Ravi Sahu, CEO of Strayos, and Barbara Rosario, CTO and Co-founder of Vyrill, deliver their Vision Tank finalist presentations at the May 2019 Embedded Vision Summit. The Vision Tank, a unique spin on […]

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Embedded Vision Insights: June 18, 2019 Edition

Edge AI and Vision Alliance, Newsletters /

RESOURCE-CONSTRAINED DEEP LEARNING IMPLEMENTATIONS Deep Learning on Arm Cortex-M Microcontrollers Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a result, there is increasing interest in deploying neural networks (NNs) on the types of low-power processors found in

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“An Introduction to Machine Learning and How to Teach Machines to See,” a Presentation from Tryolabs

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

Facundo Parodi, Research and Machine Learning Engineer at Tryolabs, presents the "An Introduction to Machine Learning and How to Teach Machines to See" tutorial at the May 2019 Embedded Vision Summit. What is machine learning? How can machines distinguish a cat from a dog in an image? What’s the magic behind convolutional neural networks? These

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

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

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

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

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

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

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

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

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

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

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

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

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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Embedded Vision Insights: June 4, 2019 Edition

Edge AI and Vision Alliance, Newsletters /

LETTER FROM THE EDITOR Dear Colleague, The 2019 Embedded Vision Summit, held last month in Santa Clara, California, brought together over 1,200 attendees to learn about technologies, challenges, techniques and opportunities for products using computer vision and visual AI. Summit presentation slides are now available for download in PDF format as a single ZIP file.

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

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

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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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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