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 […]
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
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
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”!
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
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
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.
Embedded Vision Insights: June 4, 2019 Edition Read More +
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
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
May 2019 Embedded Vision Summit Introductory Presentation (Day 2) Read More +
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
May 2019 Embedded Vision Summit Introductory Presentation (Day 1) Read More +
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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