Tools

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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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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“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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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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“NeuPro-M: A Highly Scalable, Heterogeneous and Secure Processor for High-performance AI/ML in Smart Edge Devices,” a Presentation from CEVA

Yair Siegel, Senior Director of Business Development at CEVA, presents the “NeuPro-M: A Highly Scalable, Heterogeneous and Secure Processor for High-performance AI/ML in Smart Edge Devices” tutorial at the May 2022 Embedded Vision Summit. AI capabilities have become an integral part of many products across a wide range of markets and applications. Increasingly, system developers

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“A Flexible Software Ecosystem and Marketplace for Hybrid AI Vision Solutions,” a Presentation from Basler

Bastian Steinbach, Head of Software Product Management at Basler, presents the “Flexible Software Ecosystem and Marketplace for Hybrid AI Vision Solutions” tutorial at the May 2022 Embedded Vision Summit. For most vision applications, the best solution combines classical vision algorithms with AI techniques. In practice, developing hybrid solutions is challenging. For example, different tools are

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Free Webinar Explores How to Use Edge Impulse’s FOMO Algorithm on Resource-constrained Microcontrollers

On August 30, 2022 at 9 am PT (noon ET), Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse, and Armaghan Ebrahimi, Partner Solutions Engineer at Sony Electronics Professional Solutions Americas, will present the free hour webinar “Edge Impulse’s FOMO Technology and Sony’s Computer Vision Platform: A Compelling Combination,” organized by the Edge AI and

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Deci Raises $25M Series B to Accelerate the Productization of Real-World AI Applications

Deci’s deep learning development platform bridges the AI efficiency gap, empowering AI teams to efficiently build next generation deep learning applications. Tel Aviv, Israel, July 13, 2022 – Deci, the deep learning company harnessing AI to solve the AI efficiency gap, today announced it has raised $25 million in a Series B funding round led by

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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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