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 +
The Embedded Vision Summit was held on May 20-23, 2019 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2019 Embedded Vision Summit
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Jeff Bier, Founder of the Embedded Vision Alliance, delivers the presentation "Computer Vision Developer Survey," at the Embedded Vision Alliance's March 2019 Silicon Valley Meetup. Bier shares findings from the Alliance’s recent survey of developers about the software, processors and tools they use to build computer vision and visual AI products.
This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Gone are the days of using a single GPU to train a deep learning model. With computationally intensive algorithms such as semantic segmentation, a single GPU can take days to optimize a model. But multi-GPU hardware is expensive,
Speeding Up Semantic Segmentation Using MATLAB Container from NVIDIA NGC Read More +
The Embedded Vision Alliance hosted a Computer Vision and Visual AI Meetup on the evening of March 13, 2019 in San Jose, California. Speakers included: Satya Mallick, Interim CEO of OpenCV.Org, who provided an overview of the OpenCV deep learning module and a preview of planned improvements to it Bing… “Computer Vision Developer Survey,” a
The Embedded Vision Alliance hosted a Computer Vision and Visual AI Meetup on the evening of March 13, 2019 in San Jose, California. Speakers included: Satya Mallick, Interim CEO of OpenCV.Org, who provided an overview of the OpenCV deep learning module and a preview of planned improvements to it Bing… “SoCs for Computer Vision-enabled IoT
The Embedded Vision Alliance hosted a Computer Vision and Visual AI Meetup on the evening of March 13, 2019 in San Jose, California. Speakers included: Satya Mallick, Interim CEO of OpenCV.Org, who provided an overview of the OpenCV deep learning module and a preview of planned improvements to it Bing… “Deep Learning with OpenCV,” a
This article was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. Artificial intelligence, or AI, is everywhere. It’s a revolutionary technology that is slowly pervading more industries than you can imagine. It seems that every company, no matter what their business, needs to have some kind of
Harnessing the Power of AI: An Easy Start with Lattice’s sensAI 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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