Algorithms

“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a Presentation from Qualcomm

Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Powering the Connected Intelligent Edge and the Future of On-Device AI” tutorial at the May 2022 Embedded Vision Summit. Qualcomm is leading the realization of the “connected intelligent edge,” where the convergence of wireless connectivity, efficient computing and distributed AI will power the devices […]

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“How Do We Enable Edge ML Everywhere? Data, Reliability and Silicon Flexibility,” a Presentation from Edge Impulse

Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “How Do We Enable Edge ML Everywhere? Data, Reliability and Silicon Flexibility” tutorial at the May 2022 Embedded Vision Summit. In this talk, Shelby reveals insights from the company’s recent global edge ML developer survey, which identified key barriers to machine learning adoption, and shares

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Free Webinar Explores How to Accelerate TensorFlow Models on Intel Compute Devices Using Only 2 Lines of Code

On August 25, 2022 at 9 am PT (noon ET), Kumar Vishwesh, Technical Product Manager, and Ragesh Hajela, Senior AI Engineer, both of Intel, will present the free hour webinar “Accelerating TensorFlow Models on Intel Compute Devices Using Only 2 Lines of Code,” organized by the Edge AI and Vision Alliance. Here’s the description, from

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May 2022 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 16-19, 2022 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2022 Embedded Vision Summit

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Imagination and Visidon Partner for Deep-learning-based Super Resolution Technology

IMG Series4 NNA enables advanced AI-based software to efficiently upscale images and videos London, England – 17th May, 2022 – Imagination Technologies and Visidon Oy partner to power the transition to deep-learning-based super resolution for embedded applications across mobile, DTV and automotive markets. This AI-based technology allows users to upscale low-resolution images and videos up

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Intel Announces New Cloud-to-Edge Technologies to Solve Challenges of Today and Tomorrow

At Intel Vision 2022, the company showcases how education, finance, manufacturing, medicine, transportation and defense industries are transformed through Intel silicon, software and services. NEWS HIGHLIGHTS Argonne National Laboratories, Blue White Robotics, Bosch, Dell Technologies, Federated Wireless, Lenovo, and Nourish + Bloom Market are among the customers and partners highlighting how Intel technology helps fuel

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Transformers 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 (CNN) have been dominant in Computer Vision applications for over a decade. Today, they are being outperformed and replaced by Vision Transformers (ViT) with a higher learning capacity. The fastest ViTs are

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SLAMcore Raises $16 Million to Deliver Low-cost, Spatial Understanding to Real-life Robots and the Metaverse

SLAMcore already working with companies including Meta, Synaos and Cyberdyne London – May 3, 2022 – SLAMcore, a pioneer in vision-based location and mapping for robots, autonomous machines and consumer electronics products, has raised $16 million in Series A capital that will allow the business to rapidly capitalize on its proven technology which combines AI

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Sequitur Labs’ EmSPARK Security Suite to be Incorporated Into Lenovo ThinkEdge Offerings

SEATTLE, April 26, 2022 – Sequitur Labs announced today that it has been selected by Lenovo as the technology vendor of choice for protecting edge AI computing applications utilized as part of the Lenovo ThinkEdge™ SE70 platform. ThinkEdge SE70 is a powerful and flexible AI edge platform for the enterprise and designed to meet the

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Q&A: AI Researcher Roland Memisevic Discusses the Secret to Dataset Generation, Data-driven AI, and What’s Next in Machine Learning

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Why a change in mindset about capturing the right data is essential for advances in machine learning Machine learning is rapidly changing how software and algorithms are developed. And data is the lifeblood driving the machine learning

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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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