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Deci Introduces World’s Most Advanced Semantic Segmentation Models

Deci’s Deep Learning NAS technology automatically generated a new family of models dubbed DeciSeg, which deliver unparalleled inference performance and accuracy Tel Aviv, Israel (PRWEB) – September 22, 2022 – Deci, the deep learning company harnessing AI to build AI, today announced a new set of industry-leading semantic segmentation models, dubbed DeciSeg. Deci’s proprietary Automated […]

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Free Webinar Explores How to Successfully Deploy Deep Learning Models on Edge Devices

On December 13, 2022 at 9 am PT (noon ET), Yonatan Geifman, Co-founder and CEO of Deci, will present the free hour webinar “How to Successfully Deploy Deep Learning Models on Edge Devices,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: The introduction of powerful processors, memories

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Thundersoft Demonstration of Its Turbo X EB4 Edge AI Box

Paul Peng, Senior Director of Sales and Business Development at Thundersoft, demonstrates the company’s latest edge AI and vision technologies and products in Intel’s booth at the 2022 Embedded Vision Summit. Specifically, Peng demonstrates the company’s Turbo X EB4 Edge AI Box. Thundersoft’s EB4 Edge AI Box is an edge computing device that can provide

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Imagination and Baidu PaddlePaddle Create Open-source Machine Learning Library for Model Zoo

“Hardware and Ecosystem Co-Creation Program” offers enhanced support for AI developers and SoC designers London, England – 27th September 2022 – Imagination Technologies and PaddlePaddle announce a new, jointly developed Model Zoo library. This significant milestone in their partnership covers several types of AI processing, including image classification, image segmentation, and object detection. These Model

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Edge Impulse Demonstration of Wildlife Monitoring with Sony Spresense

Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Plunkett demonstrates a machine learning-powered system on the Sony Spresense platform that can identify when an animal or car is in frame of the camera. This application can

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Edge Impulse Demonstration of Screw and Washer Detection with FOMO

Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Plunkett demonstrates Edge Impulse’s FOMO algorithm. In this demo, Jenny runs a FOMO model on the Himax WE-I Plus board for real-time screw and washer detection along a

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Edge Impulse Demonstration of Face Detection with FOMO and Alif Semiconductor’s Ensemble MCU

Shawn Hymel, Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Hymel demonstrates how to use Edge Impulse’s ground-breaking FOMO algorithm for real-time face detection. The demo runs live inference on an Alif Semiconductor Ensemble board, which combines an Arm

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“Unifying Computer Vision and Natural Language Understanding for Autonomous Systems,” a Presentation from Verizon

Mumtaz Vauhkonen, Lead Distinguished Scientist and Head of Computer Vision for Cognitive AI in AI&D at Verizon, presents the “Unifying Computer Vision and Natural Language Understanding for Autonomous Systems” tutorial at the May 2022 Embedded Vision Summit. As the applications of autonomous systems expand, many such systems need the ability to perceive using both vision

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“Compound CNNs for Improved Classification Accuracy,” a Presentation from Southern Illinois University Carbondale

Spyros Tragoudas, Professor and School Director of Southern Illinois University Carbondale, presents the “Compound CNNs for Improved Classification Accuracy” tutorial at the May 2022 Embedded Vision Summit. In this talk, Tragoudas presents a novel approach to improving the accuracy of convolutional neural networks (CNNs) used for classification. The approach utilizes the confusion matrix of the

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“Strategies and Methods for Sensor Fusion,” a Presentation from Sensor Cortek

Robert Laganiere, CEO of Sensor Cortek, presents the “Strategies and Methods for Sensor Fusion” tutorial at the May 2022 Embedded Vision Summit. Highly autonomous machines require advanced perception capabilities. Autonomous machines are generally equipped with three main sensor types: cameras, lidar and radar. The intrinsic limitations of each sensor affect the performance of the perception

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