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Arm Expands Total Solutions for IoT Portfolio to Continue Delivering Transformative Innovation to Ecosystem

Arm, News, Processors, Tools /

News Highlights: New Arm Total Solutions expand high-performance microcontroller and application use-cases with the latest Corstone subsystems for Cortex-M and Cortex-A Arm Cortex-M85 processor offers increased performance, improved machine learning capabilities and enhanced security Arm Virtual Hardware delivers a broader range of virtual development opportunities for Arm processors, third party hardware and real-world devices Cambridge, […]

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Sequitur Labs’ EmSPARK Security Suite to be Incorporated Into Lenovo ThinkEdge Offerings

Algorithms, News, Sequitur Labs, Software, Tools /

SEATTLE, April 26, 2022 – Sequitur Labs announced today that it has been selected by Lenovo as the technology vendor of choice for protecting edge AI computing applications utilized as part of the Lenovo ThinkEdge™ SE70 platform. ThinkEdge SE70 is a powerful and flexible AI edge platform for the enterprise and designed to meet the

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Q&A: AI Researcher Roland Memisevic Discusses the Secret to Dataset Generation, Data-driven AI, and What’s Next in Machine Learning

Algorithms, Blog Posts, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Why a change in mindset about capturing the right data is essential for advances in machine learning Machine learning is rapidly changing how software and algorithms are developed. And data is the lifeblood driving the machine learning

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Exploring Data Labeling and the 6 Different Types of Image Annotation

Blog Posts, Object Identification, Tools, Xailient /

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Data labeling is an essential step in a supervised machine learning task. The same is true for image annotation. Data labeling and image annotations must work together to paint a complete picture. If you show a child

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Object Tracking at the Edge

Au-Zone Technologies, Blog Posts, Processors, Tools /

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. The introduction of low cost, powerful Arm processors coupled with the advances in machine learning techniques provides the foundation for intelligent computer vision edge devices. Computer vision at the edge will drive the shift from

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Real-time Medical Imaging Using OpenVINO

Intel, Tools, Videos /

Welcome back to Edge Innovation Series for Developers! This time around, Steph and Ragesh explore a new use case around medical imaging for kidney CT scans and an AI healthcare solution powered with OpenVINO™: the GE Healthcare Clinical Care Suite. They also touch on the OpenVINO™ Post-Training Optimization Tool, AutoQ (an automated mixed-precision quantization technique),

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Automatic License Plate Recognition with Hailo-8

Algorithms, Automotive, Blog Posts, Hailo, Processors, Software, Tools /

This blog post was originally published at Hailo’s website. It is reprinted here with the permission of Hailo. In this blog post, we present Hailo’s License Plate Recognition (LPR) implementation (also known as Automatic Number Plate Recognition or ANPR). The presented solution can be used in Intelligent Transportation Systems (ITS) and is a good example

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13 Free Resources and Model Zoos for Deep Learning and Computer Vision Models

Blog Posts, Deci, Tools /

This blog post was originally published at Deci’ website. It is reprinted here with the permission of Deci. Computer vision is a fast-growing subfield of AI and deep learning. From cashierless stores in retail to crop detection in agriculture, there’s an increasing interest in CV applications. This has created a vibrant community that gladly shares

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Multilayer Perceptrons (MLP) in Computer Vision

Algorithms, Articles, Axelera AI, Software, Tools /

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

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Live Object Detection Demo Using OpenVINO

Intel, Object Identification, Tools, Videos /

Welcome to the first episode of Intel’s Edge Innovation Series for Developers! Meet your hosts, Stephanie Essin and Ragesh Hajela. They are two techies going on a developer discovery journey together, uncovering how to use Intel® developer resources and tools (like OpenVINO™) to speed up development, tinker with cool demos, and show you what is

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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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