SLAMcore and Eyedaptic Recognized as Best New Ventures Solving Real-World Problems Using Computer Vision and AI SANTA CLARA, Calif., July 16, 2020 — The Edge AI and Vision Alliance today announced the two winners of this year’s Vision Tank Start-Up Competition. The annual competition, which showcases the best new ventures using visual AI and computer […]
David Haber, Head of Deep Learning at Daedalean AI, delivers the presentation “Certifying Neural Networks for Autonomous Flight” at the Edge AI and Vision Alliance’s May 2020 Member Briefing meeting. Deep neural networks have demonstrated impressive performance on visual recognition tasks relevant to the operation of airborne vehicles such as autonomous drones and personal electric
“Certifying Neural Networks for Autonomous Flight,” a Presentation from Daedalean AI Read More +
LETTER FROM THE EDITOR Dear Colleague, On Thursday, July 23 at 9 am PT, platform.ai will deliver the free webinar “AI Training Data Image Labeling and Few-Shot Learning: Under the Hood with Platform.ai” in partnership with the Edge AI and Vision Alliance. The time it takes to accurately and comprehensively label training images remains one
Edge AI and Vision Insights: July 8, 2020 Edition Read More +
LETTER FROM THE EDITOR Dear Colleague, What do these five things have in common? Augmented reality glasses for macular degeneration A gigapixel microscope that captures detail over hundreds of square centimeters An AI-powered data platform that helps with parking 3D thermal imagers to help autonomous things, day or night Algorithms that help robots see They’re
Edge AI and Vision Insights: June 24, 2020 Edition Read More +
LETTER FROM THE EDITOR Dear Colleague, Last week, the Edge AI and Vision Alliance announced the winners of the 2020 Vision Product of the Year Awards. The Awards recognize the innovation and excellence of the industry’s leading technology companies that are enabling practical visual AI and computer vision.This year’s winners included NVIDIA’s Jetson Nano (Best
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Awards Honoring Innovation and Achievement in Computer Vision and Visual AI SANTA CLARA, Calif. – June 3, 2020 /PRNewswire/ – The Edge AI and Vision Alliance today announced the 2020 winners of the Vision Product of the Year Awards. The Awards recognize the innovation and excellence of the industry’s leading technology companies that are enabling
Edge AI and Vision Alliance Announces 2020 Vision Product of the Year Award Winners Read More +
Five companies to compete for most innovative computer vision startup — live, online on July 16, 2020 from 9-10 am PT SANTA CLARA, Calif., May 29, 2020 — The Edge AI and Vision Alliance today announced the finalists for the 2020 Vision Tank, the Alliance’s annual start-up competition that showcases the best new ventures using
LETTER FROM THE EDITOR Dear Colleague, Join us at the 2020 Vision Product of the Year Awards Ceremony, a free online event next Wednesday, June 3, 2020 from 9-10 am PT. We will announce the five winning companies (selected by our panel of independent judges) that are developing the next generation of computer vision products
Edge AI and Vision Insights: May 27, 2020 Edition Read More +
Five companies recognized for their leadership in developing the next generation of computer vision products; live on-line awards ceremony to be held June 3, 2020 SANTA CLARA, Calif., May 21, 2020 — The Edge AI and Vision Alliance today announced that the winners of the Vision Product of the Year Awards will be celebrated at
LETTER FROM THE EDITOR Dear Colleague, The Vision Tank is the Edge AI and Vision Alliance’s annual start-up competition, showcasing the best new ventures using computer vision or visual AI in their products and services. It’s open to early-stage companies, and entrants are judged on four criteria: technology innovation, business plan, team and business opportunity.
Edge AI and Vision Insights: May 13, 2020 Edition 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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