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BDTI, Jabil, NVIDIA and Tryolabs Demonstration of AI-based Face Mask Detection and Analytics

BDTI and its partners, Tryolabs S.A. and Jabil Optics, are delighted to announce MaskCam: an open-source smart camera prototype reference design based on the NVIDIA …

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Building and Deploying a Face Mask Detection Application Using NGC Collections

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI workflows are complex. Building an AI …

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“A New Golden Age for Computer Architecture: Processor Innovation to Enable Ubiquitous AI,” a Keynote Presentation from David Patterson

David Patterson, UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair, presents the “A New Golden Age for …

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Face Mask Detection in Street Camera Video Streams Using AI: Behind the Curtain

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the new world of coronavirus, multidisciplinary efforts …

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Deep Learning for Medical Imaging: COVID-19 Detection

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. I’m pleased to publish another post from Barath …

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Why More Companies Are Using the Open Source AV1 Video Codec

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Why In-Memory Computing Will Disrupt Your AI SoC Development

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Could Qualcomm Technologies and QUVA Lab Pave the Way for a New Style of Scientific Research?

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NVIDIA Releases Updates to CUDA-X AI Software

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Functional Safety for Automotive Vision Processors

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Struggles of Running Object Detection on a Raspberry Pi

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Welcoming New Animals to the Zoo — Model Evaluation

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New AI Products and Partnerships Broaden Our Offerings for Enabling Exceptional IoT Experiences

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Deeplite for Smart Manufacturing – Case Study

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Getting Machines to Understand Human Emotions

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Fewer Than 10,000 Pixels is Enough for Autonomy

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Accelerated Signal Processing with cuSignal

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From Training to Inference: A Closer Look at TensorFlow for Developers

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How a Car Sees in 3D

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Renesas Automotive at CES 2021 – A Unique All-digital Experience

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Deep Learning for Computer Vision with TensorFlow 2.0 and Keras

Now available as an on-line training!

Get the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, today’s most popular framework for deep learning. This first-rate training created by a Google Developer Expert is only $299 and allows you to work at your own pace.

Ready to learn more about the training, view the course outline and learn more about the instructor?

Deep Learning for Computer Vision with TensorFlow 2.0 and Keras

Now available as an on-line training!

Get the hands-on knowledge you need to develop deep learning computer vision applications—both on embedded systems and in the cloud—with TensorFlow, today’s most popular framework for deep learning. This first-rate training created by a Google Developer Expert is only $299 and allows you to work at your own pace.

Latest Videos

Embedded Vision and Visual AI Industry Map

A new way to identify prospective customers, suppliers and partners.

This new interactive, free-to-use tool provides an easy, efficient way to visualize how thousands of companies fit into the vision industry ecosystem. Covering the entire embedded vision and visual AI value chain, from sub-components to complete systems, you can now dive into the different layers of the vision value chain and in specific end- application markets.

Join the Alliance.

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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