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STMicroelectronics Extends Embedded AI Solutions with Advanced Features to Ease Machine-Learning Development

10 Nov 2022 | Geneva | Enhancing its tools to accelerate embedded Artificial-Intelligence (AI) and Machine-Learning (ML) development projects, STMicroelectronics has released upgrades to both NanoEdge AI Studio and STM32Cube.AI. These tools facilitate moving AI and ML to the edge of an application. At the edge, AI/ML delivers substantial advantages, which include privacy by design, […]

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Blaize Demonstration of Its AI Studio for End-to-end Edge Computer Vision Application Development

Sid Thakur, Data Visualization Scientist at Blaize, demonstrates the company’s latest edge AI and vision technologies and products at the September 2022 Edge AI and Vision Innovation Forum. Specifically, Thakur demonstrates AI Studio, an end-to-end edge AI application development tool. This cloud-based solution employs a web browser for users to build applications for the edge,

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Arm Continues to Accelerate IoT Software Development with New Partnerships

News highlights: Arm development tools integrated into GitHub Actions enabling faster time to market for IoT and embedded developers Qeexo and Nota.AI integrate Arm Virtual Hardware for better accessibility and ease-of-deployment of ML workloads A year ago we unveiled Arm Virtual Hardware, a cloud-based offering that delivers virtual models of Arm subsystems and third-party development

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Free Webinar Explores How to Implement AI-based Analytics for VMS

On February 7, 2023 at 9 am PT (noon ET), Avi Baum, CTO, and Mark Grobman, Machine Learning CTO, both of Hailo, will present the free hour webinar “Implementing Advanced AI-based Analytics for Video Management Systems,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: The term video

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EYYES Demonstration of AI Technologies for a Safer World

Dr. Wolfgang Domann, Managing Director, and Dipl.-Ing. Johannes Traxler, CEO, both of EYYES GmbH, demonstrate the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Domann and Traxler demonstrate the company’s product range. EYYES provides a full stack of technology to create complete AI products and solutions. The

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Voxel51 Demonstration of Visual Dataset Management and Analysis with FiftyOne

Jason Corso, CEO and Co-founder of Voxel51, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Corso demonstrates the importance of well-honed data workflows for computer vision dataset management and the value of visual data analysis to improve model performance. Corso describes both the rich python

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Renesas Demonstration of MPU Evaluation Using the Vision AI Cloud Platform

Manny Singh, Product Marketing Manager at Renesas Electronics, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Singh demonstrates how RZ/V series microprocessors (MPUs) can be evaluated with remote boards using a cloud platform. Singh shows how easily the vision AI performance of the MPU, including

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Deci Demonstration of How to Build State-of-the-art Computer Vision Models with Deci’s NAS Platform

Ofer Baratz, AI Product Manager at Deci, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Baratz demonstrates how to build state-of-the-art computer vision models using the Deci platform powered by hardware-aware neural architecture search technology. With Deci’s platform, AI teams can easily build fast and

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Deci Demonstration of Real-time Object Detection on a NVIDIA Jetson SoC with DeciDet

Nave Assaf, Deep Learning Engineer at Deci, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Assaf demonstrates how the DeciDet model runs real-time object detection on eight video streams connected to one Nvidia Jetson device while outperforming YOLO X both in terms of accuracy and

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