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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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Free Webinar Introduces Deep Learning for Embedded Computer Vision

On March 24, 2021 at 9 am PT (noon ET), the Edge AI and Vision Alliance’s Founder, Jeff Bier, will present the free hour webinar “Deep Learning for Embedded Computer Vision: An Introduction,” in partnership with Vision Systems Design. Here’s the description, from the event registration page: Deep learning for embedded computer vision has made …

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Intel, EXOS Pilot 3D Athlete Tracking with Pro Football Hopefuls

What’s New: EXOS, a leader in the field of advancing human performance, is piloting Intel’s 3D Athlete Tracking (3DAT) technology in training aspiring professional athletes to reach their peak performance. As pro days loom, these athletes seek to take their game to the next level with 3DAT by leveraging artificial intelligence (AI) to gain actionable insights …

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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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Model Compression: Needs and Importance

Smart City connected by IoT (Image by Tumisu from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Whether you’re new to computer vision or an expert, you’ve probably heard about AlexNet winning the ImageNet challenge in 2012. That was the turning point in computer …

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“Practical Guide to Implementing Deep Neural Network Inferencing at the Edge,” a Presentation from Zebra Technologies

Toly Kotlarsky, Distinguished Member of the Technical Staff in R&D at Zebra Technologies, presents the “Practical Guide to Implementing Deep Neural Network Inferencing at the Edge” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Kotlarsky explores practical aspects of implementing a pre-trained deep neural network (DNN) inference… “Practical Guide to Implementing Deep …

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Optimizing Image Processing for Computer Vision

How an Automotive Tier 1 Supplier Used Atlas to Improve Computer Vision Accuracy By Up to 48% mAP Within Days This blog post was originally published at Algolux’s website. It is reprinted here with the permission of Algolux. Computer vision is a fundamental technology in automotive Advanced Driver Assistance Systems (ADAS) for pedestrian, vehicle, or …

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“A Computer Vision-Based Personal Trainer That Runs On Your Phone,” a Presentation from Twenty BN

Roland Memisevic, CEO, Chief Scientist and Founder of Twenty BN, presents the “Computer Vision-Based Personal Trainer That Runs On Your Phone” tutorial at the September 2020 Embedded Vision Summit. In this presentation, Memisevic describes Twenty BN’s journey towards building an AI-powered personal trainer that runs on your phone. The trainer… “A Computer Vision-Based Personal Trainer …

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“Introducing Machine Learning and How to Teach Machines to See,” a Presentation from Tryolabs

Facundo Parodi, Research and Machine Learning Engineer at Tryolabs, presents the “Introduction to Machine Learning and How to Teach Machines to See” tutorial at the September 2020 Embedded Vision Summit. What is machine learning? How can machines distinguish a cat from a dog in an image? What’s the magic behind… “Introducing Machine Learning and How …

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