This technical article was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Convolutional Neural Networks (CNN) have been dominant in Computer Vision applications for over a decade. Today, they are being outperformed and replaced by Vision Transformers (ViT) with a higher learning capacity. The fastest ViTs are […]
Transformers in Computer Vision Read More +
This technical article was originally published at Axelera AI’s website. It is reprinted here with the permission of Axelera AI. Convolutional neural networks (CNNs) still dominate today’s computer vision. Recently, however, networks based on transformer blocks have also been applied to typical computer vision tasks such as object classification, detection, and segmentation, attaining state-of-the-art results
Multilayer Perceptrons (MLP) in Computer Vision Read More +
This technical article was originally published by SmartCow AI Technologies. It is reprinted here with the permission of SmartCow AI Technologies. On March 22th 2022, NVIDIA announced the availability of its new edge computing platform, the Jetson AGX Orin™ developer kit. The production version is being released on Q4 2022 at roughly the same price
Is the New NVIDIA Jetson AGX Orin Really a Game Changer? We Benchmarked It Read More +
This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Transportation monitoring systems, healthcare, and retail have all benefited greatly from intelligent video analytics (IVA). DeepStream is an IVA SDK. DeepStream enables you to attach and detach video streams in runtime without affecting the entire deployment. This
Managing Video Streams in Runtime with the NVIDIA DeepStream SDK Read More +
Autonomous self-driving greenhouse tow-tractors with Cyberworks Robotics retrofit system based on Intel RealSense cameras For Fernlea Flowers, implementing AGV tractors was key to providing a safe working environment for their employees while improving efficiencies and order fulfilment. Retrofitting these vehicles for autonomous driving ensures safe working distances can be maintained without sacrificing efficiency while minimising
Autonomous Self-Driving Technology in Greenhouses and Outdoors Read More +
This article was originally published at OpenFive’s website. It is reprinted here with the permission of OpenFive. Computer vision has made tremendous advances in the last several years due to the proliferation of AI technology. The intersection of big data and massive parallel computing changed the way in which machines are programmed to understand unstructured
Enabling AI Vision at the Edge Read More +
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 application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software
Building and Deploying a Face Mask Detection Application Using NGC Collections Read More +
This technical article was originally published on The Linley Group website on behalf of Coherent Logix. It is reprinted here with the permission of The Linley Group and Coherent Logix. After spending 15 years targeting military/aerospace, software-defined radios (SDRs), and other niche applications, Coherent Logix is expanding into the commercial edge-AI market. Customers have deployed
Coherent Logix Configures Edge AI Read More +
This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Businesses are constantly overhauling their existing infrastructure and processes to be more efficient, safe, and usable for employees, customers, and the community. With the ongoing pandemic, it’s even more important to have advanced analytics apps and services
Implementing a Real-time, AI-Based, Face Mask Detector Application for COVID-19 Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In robotics applications, 3D object poses provide crucial information to downstream algorithms such as navigation, motion planning, and manipulation. This helps robots make intelligent decisions based on surroundings. The pose of objects can be used by a
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