TECHNOLOGIES

STMicroelectronics Extends STM32Cube.AI Development Tool with Support for Deeply Quantized Neural Networks

21 Jul 2022 | Geneva | STMicroelectronics has released STM32Cube.AI version 7.2.0, the first artificial-intelligence (AI) development tool by an MCU (microcontroller) vendor to support ultra-efficient deeply quantized neural networks. STM32Cube.AI converts pretrained neural networks into optimized C code for STM32 microcontrollers (MCUs). It is an essential tool for developing cutting-edge AI solutions that make […]

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“Accelerate All Your Algorithms with the quadric q16 Processor,” a Presentation from Quadric

Daniel Firu, Co-founder and CPO of Quadric, presents the “Accelerate All Your Algorithms with the quadric q16 Processor,” tutorial at the May 2022 Embedded Vision Summit. As edge and embedded vision applications increasingly incorporate neural networks, developers are looking to add neural network accelerator functionality to their systems. There is just one problem: we need

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Enabling On-device Learning at Scale

On-device intelligence provides important benefits. This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our latest AI research to personalize and adapt models while keeping data private One size doesn’t fit all. The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are

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“Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision,” a Presentation from Opteran Technologies

James Marshall, Chief Scientific Officer at Opteran Technologies, presents the “Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision” tutorial at the May 2022 Embedded Vision Summit. Mainstream approaches to AI for autonomy and computer vision make use of data-, energy- and compute-intensive techniques such as deep learning, which struggle to generalize and are fragile

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Faster Than Any Other IDS Industrial Camera: uEye Warp10 with 10GigE

July 20, 2022 – With high speed to new spheres! When fast-moving scenes need to be captured in all their details, a high-performance transmission interface is essential in addition to the right sensor. With uEye Warp10, IDS Imaging Development Systems GmbH is launching a new camera family that, thanks to 10GigE, transmits data in the

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“Vision AI At the Edge: From Zero to Deployment Using Low-Code Development,” a Presentation from NVIDIA

Carlos Garcia-Sierra, Product Manager for DeepStream at NVIDIA, presents the “Vision AI At the Edge: From Zero to Deployment Using Low-Code Development” tutorial on behalf of Alvin Clark, Product Marketing Manager at NVIDIA, at the May 2022 Embedded Vision Summit. Development of vision AI applications for the edge presents complex challenges beyond model inference, often

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“Accelerating the Creation of Custom, Production-Ready AI Models for Edge AI,” a Presentation from NVIDIA

Akhil Docca, Senior Product Marketing Manager at NVIDIA, presents the “Accelerating the Creation of Custom, Production-Ready AI Models for Edge AI,” tutorial at the May 2022 Embedded Vision Summit. AI applications are powered by models. However, creating customized, production-ready AI models requires an army of data scientists and mountains of data. For businesses looking to

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World’s First AV1 Decoder Silicon IP with Support for 12-bit Pixel Size and 4:4:4 Chroma Sub-Sampling Released by Allegro DVT

Grenoble, France – June 16th 2022 – Allegro DVT, the leading provider of video processing silicon IPs and video compliance streams, has announced that its D310 AV1 Decoder silicon IP now supports 12-bit sample size and 4:4:4 chroma sub-sampling. Emerging applications such as cloud-gaming, automotive and screen mirroring will directedly benefit from these new features to provide a superior

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Detecting Safety Helmets in Real-time

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. At Tryolabs, we are passionate about building computer vision solutions that have real-world impact. Very often, this means integrating them to run on edge devices. In our journey to master AI on the edge, we have developed

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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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