This blog post was originally published by NXP Semiconductors. It is reprinted here with the permission of NXP Semiconductors. Edge intelligence is one of the most disruptive innovations since the advent of the Internet of Things (IoT). While the IoT gave rise to billions of smart, connected devices transmitting countless terabytes of sensor data for […]
Ken Mills, CEO of Epic IO, IntelliSite and Broad Sky Networks, Matthew Formica, Director of OpenVINO Product Marketing and Developer Evangelism at Intel, and Aaron Tersteeg, Global Sales Director for AI Edge Inference at Intel, co-present the “Why is Taking AI to Production So Difficult?” tutorial at the May 2021 Embedded Vision Summit. 80% of
On July 8, 2021 at 8:00 am PT (11:00 am ET), Alliance Member company NXP will deliver the free webinar “Data To Inference In Under 30 Minutes: Machine Learning Development With Nxp eIQ Software”, in partnership with fellow Alliance Member company Au-Zone Technologies. From the event page: No matter your experience level or the data
Upcoming Webinar Explores Rapid Machine Learning Model Development Read More +
Corey Heath, Software Engineer at Intel, presents the “Quickly Measure and Optimize Inference Performance Using Intel DevCloud for the Edge” tutorial at the May 2021 Embedded Vision Summit. When developing an edge AI solution, DNN inference performance is critical: If your network doesn’t meet your throughput and latency requirements, you’re in trouble. But accurately measuring
Aurelien Lequertier, Lead User Success Engineer at Edge Impulse, presents the “From Start to Finish: Build Industrial Embedded ML Solutions on CPUs and MCUs” tutorial at the May 2021 Embedded Vision Summit. In this in-depth tutorial, you’ll learn how to build real-world embedded machine learning (ML) applications ranging from simple sensor configurations to powerful Linux-based
Zach Shelby, Co-founder and CEO of Edge Impulse, presents the “Data-Driven Engineering Revolution” tutorial at the May 2021 Embedded Vision Summit. In this talk, IoT industry pioneer and Edge Impulse co-founder Zach Shelby shares insights about how machine learning is revolutionizing embedded engineering. Advances in silicon and deep learning are enabling embedded machine learning (TinyML)
“The Data-Driven Engineering Revolution,” a Presentation from Edge Impulse Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Combining machine learning and classical algorithms through neural augmentation for combinatorial optimization Machine learning (ML) is transforming industries, improving products, and enhancing everyday life for consumers. You should think of ML as a horizontal technology that will
Why Machine Learning is a Powerful Tool, Even Without Data Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Researchers from NVIDIA, University of Texas at Austin and Caltech developed a simple, efficient, and plug-and-play uncertainty quantification method for the 6-DoF (degrees of freedom) object pose estimation task, using an ensemble of K pre-trained estimators with
NVIDIA Research: Fast Uncertainty Quantification for Deep Object Pose Estimation Read More +
May 20, 2021 – San Diego – Getting the latest software updates and features on your smartphone is key to a better user experience and adds excitement to the devices you use all the time. In late 2019, Qualcomm Technologies announced GPU updateable drivers — a first in the mobile industry. Just like how you
This blog post was originally published at Visidon’s website. It is reprinted here with the permission of Visidon. As discussed in previous blog articles, taking a photo means that your camera is capturing data, which is used to create a digital image. Every graphic you see on a display is an image file. Image files
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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