Blog Posts

Functional Safety for Automotive Vision Processors

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Our ASIL-compliant chips are designed to meet international standards for vehicle safety. The concept of functional safety isn’t new; it has existed for centuries. As long as there have been machines, there have been attempts to design […]

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Struggles of Running Object Detection on a Raspberry Pi

Frustrated man (Image by Gerd Altmann from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Have you ever been so excited after reading a how-to tutorial or a github readme file, only to discover after following it through that it is not really as

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Welcoming New Animals to the Zoo — Model Evaluation

This blog post was originally published at ClearML’s website in partnership with Forsight.ai. It is reprinted here with the permission of ClearML and Forsight.ai. Tensorflow Object Detection API (TF OD API) just got even better. Recently, Google released the new version of TF OD API which now supports Tensorflow 2.x. This is a huge improvement

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

This blog post was originally published at Synaptics’ website. It is reprinted here with the permission of Synaptics. The world of connected devices is an exciting and dynamic one as companies develop more sophisticated products to enhance our convenience, entertainment and safety. At the heart of this new generation of smart devices is an increasing

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Deeplite for Smart Manufacturing

Deeplite for Smart Manufacturing – Case Study

This blog post was originally published at Deeplite’s website. It is reprinted here with the permission of Deeplite. Are you looking to enable machine vision while saving on digitalization and manufacturing costs? Implementing AI in smart manufacturing can be transformational to your business, but it can also be challenging to achieve! At Deeplite, we are

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Getting Machines to Understand Human Emotions

This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Throughout season two of the Intel on AI podcast, many of the world’s most prominent artificial intelligence (AI) experts have talked about why they believe machines can’t simply improve performance on large data sets in order for

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Fewer Than 10,000 Pixels is Enough for Autonomy

This blog post was originally published at Opteran Technologies’ website. It is reprinted here with the permission of Opteran Technologies. We’ve read with interest the posts Geoffrey Barrows at Centeye has been publishing on some of the challenges of developing autonomous drones. This more recent one underlines how many factors influence a drone’s ability to successfully

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Accelerated Signal Processing with cuSignal

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Why signal processing? Signal processing is all around us. Broadly defined as the manipulation of signals — or mechanisms of transmitting information from one place to another — the field of signal processing exploits embedded information to

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

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. As machine learning (ML) has grown, many open source frameworks have come along, effectively democratizing what was once reserved for artificial intelligence (AI) researchers. Of these frameworks, TensorFlow has become the most popular for building and running

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How a Car Sees in 3D

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Autonomy starts with how the vehicle perceives a three-dimensional world. An essential task in autonomous driving is environmental perception—interpreting an ever-changing, three-dimensional world on the fly. Which methods will the vehicle use to understand and respond to

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