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 […]
Model Compression: Needs and Importance Read More +
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 on typical edge processors. First,
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
Optimizing Image Processing for Computer Vision Read More +
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 takes the form of an
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 convolutional neural networks? These are
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Algorithmic fairness is a motif that plays throughout our podcast series: as we look to AI to help us make consequential decisions involving people, guests have stressed the risks that the automated systems that we build will
The Importance of Algorithmic Fairness Read More +
Scott Thibault, President and Founder of StreamLogic, presents the “Can You See What I See? The Power of Deep Learning” tutorial at the September 2020 Embedded Vision Summit. It’s an exciting time to work in computer vision, mainly due to the technological advances in the area of deep learning. This talk is an introduction to
“Can You See What I See? The Power of Deep Learning,” a Presentation from StreamLogic Read More +
Fisheye dewarping with no need to install an app: this solution works directly with the WebGL API and on popular browsers for computers and mobile devices, as long as they support HTML5. Convenience and ease-of-use should be watchwords for the development of all products, yet many of them stumble right out of the blocks by
Home Surveillance and Security Without the Hassle Read More +
Woonhyun Nam, Algorithms Director at StradVision, presents the “Designing Bespoke CNNs for Target Hardware” tutorial at the September 2020 Embedded Vision Summit. Due to the great success of deep neural networks (DNNs) in computer vision and other machine learning applications, numerous specialized processors have been developed to execute these algorithms with reduced cost and power
“Designing Bespoke CNNs for Target Hardware,” a Presentation from StradVision Read More +
Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild” tutorial at the September 2020 Embedded Vision Summit. Skydio ships autonomous robots that are flown at scale in complex, unknown environments every day to capture incredible video, automate dangerous inspections and save lives of first responders.
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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