TECHNOLOGIES

Lanner Electronics’ Secure and Powerful Edge AI Platform

This video was originally published at Lanner Electronics’ YouTube channel. It is reprinted here with the permission of Lanner Electronics. The accelerating deployment of powerful AI solutions in competitive markets has evolved hardware requirements down to the very edge of our networks. Harnessing existing IT workflows is instrumental to edge-ready solutions capable of closing complex […]

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Exploring Data Labeling and the 6 Different Types of Image Annotation

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

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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BrainChip and NVISO Partner on Human Behavioral Analytics in Automotive and Edge AI Devices

LAGUNA HILLS, Calif. & LAUSANNE, Switzerland–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP and chips, and nViso SA (NVISO), the leading human behavioral analytics AI company, today announced a collaboration targeting battery-powered applications in robotics and mobility/automotive to address the need for high levels

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Synopsys Introduces Industry’s Highest Performance Neural Processor IP

New DesignWare ARC NPX6 NPU IP Delivers Up to 3,500 TOPS Performance for Automotive, Consumer and Data Center Chip Designs Highlights of this Announcement: DesignWare ARC NPX6 NPU IP delivers industry-leading performance and power efficiency of 30 TOPS/Watt, featuring up to 96K MACs with enhanced utilization, new sparsity features and new interconnect for scalability New

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Real-time Medical Imaging Using OpenVINO

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

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

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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Lanner Electronics’ Rugged Edge AIoT Appliance

This video was originally published at Lanner Electronics’ YouTube channel. It is reprinted here with the permission of Lanner Electronics. Lanner Electronics’ IIoT-I530 is a fanless edge AIoT appliance powered by the 11th generation Intel Core i Series CPU (codenamed Tiger Lake-UP3). This particular industrial computer is equipped with features for machine vision, AI deep

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Multilayer Perceptrons (MLP) in Computer Vision

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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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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