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Xnor.ai Demonstration of Person Detection Deep Learning Running On an Intel Core i5 CPU

Ian Turner, Product Engineer at Xnor.ai, demonstrates the company’s latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Turner demonstrates Xnor’s person detection deep learning model running on an Intel IEI Tank, which contains an Intel i5 6500 TE CPU. Traditionally, AI models have required expensive GPUs, but this demonstration shows …

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Xnor.ai Demonstration of New AI Technologies that Reshape Potential For the Industry

Peter Zatloukal, Vice President of Engineering at Xnor.ai, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Zatloukal showcases new AI technologies that reshape potential for the industry. Zatloukal begins by demonstrating how Xnor's deep neural networks are capable of running on edge devices as small and low-cost …

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“A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes,” a Presentation from Xnor.ai

Peter Zatloukal, VP of Engineering at Xnor.ai, presents the “A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes” tutorial at the May 2019 Embedded Vision Summit. The first-of-its-kind, self-service platform described in this presentation makes it possible for software and hardware developers—even those who aren’t skilled… “A Self-service Platform to Deploy …

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The Next Phase of Deep Learning: Neural Architecture Learning Leads to Optimized Computer Vision Models

This article was originally published by Xnor.ai. It is reprinted here with the permission of Xnor.ai. Everywhere we hear that AI is going to change the world — those underlying AI models now power more products, businesses, and solutions. To understand what this all means, how AI models are structured, and how they are learning …

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How Xnor.ai Managed to Squeeze a Deep Neural Network onto a $20 Wyze Camera

This article was originally published by Xnor.ai. It is reprinted here with the permission of Xnor.ai. Wyze, the provider of affordable smart home technologies, came to us with a problem — can you help reduce the endless, unnecessary notifications for our camera users? At the time, Wyze was sending their users notifications based on motion …

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Xnor’s AI Helps Consumer Electronics Manufacturers Make Their Devices Smarter, not Pricier

July 9, 2019 – Imagine you’re relaxing on your summer vacation, idle thoughts passing through your mind as you soak up the sun. You get an alert on your phone telling you somebody has been detected moving around your house. You swipe up to check out a clip — it’s just your neighbor stopping by …

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“Methods for Creating Efficient Convolutional Neural Networks,” a Presentation from Xnor.ai

Mohammad Rastegari, Chief Technology Officer at Xnor.ai, presents the "Methods for Creating Efficient Convolutional Neural Networks" tutorial at the May 2019 Embedded Vision Summit. In the past few years, convolutional neural networks (CNNs) have revolutionized several application domains in AI and computer vision. The biggest challenge with state-of-the-art CNNs is the massive compute demands that …

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Xnor Releases AI2GO: A Self-serve Edge AI Platform for Building Smart On-device Solutions

AI2GO gives developers access to hundreds of deep learning models, which can be deployed on resource-constrained devices such as car dash cams and home security cameras with a few lines of code. Seattle, Washington (May 16, 2019) – Xnor.ai has launched AI2GO, a self-serve platform that enables developers, device creators and companies to build smart, …

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Xnor Appoints Mobile Computing Expert to Principal Engineer

Matt Welsh will help guide development of Xnor’s AI-on-the-edge platform SEATTLE, Feb. 21, 2019 (GLOBE NEWSWIRE) — Xnor, the company that is making AI available on every device, has appointed Matt Welsh to the position of principal engineer. Welsh joins Xnor from Google, where he was an engineering lead on the Chrome Mobile team for …

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Xnor.ai Introduction to the Company, Its Technology and Its Products

Adam Mangone, Vice President of Marketing at Xnor.ai, delivers a product demonstration at the January 2019 Vision Industry and Technology Forum. Specifically, Mangone gives an introduction to his company and its technology and products. Xnor.ai enables computer vision directly on resource-constrained devices with no loss in speed or accuracy. Unlike traditional AI that either runs …

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May 18 - 21, Santa Clara, California

The preeminent event for practical, deployable computer vision and visual AI, for product creators who want to bring visual intelligence to products.

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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1646 North California Blvd.,
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Walnut Creek, CA 94596 USA

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Phone: +1 (925) 954-1411
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