Paper cut cloud looking at the clouds (Image by rawpixel from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Edge Computing market size is expected to reach USD 29 billion by 2025. In this decade there has been a transformational movement from on-premise Computing […]
You Need to Move from Cloud Computing to Edge Computing Now! Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Onboard security is mandatory for today’s embedded processors. Our vision SoCs perform critical tasks in automotive safety, video security, and other AI camera applications where environmental perception—seeing and interpreting the world—plays a pivotal role. From front ADAS
Cybersecurity Designed For the Edge 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 +
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. The use of artificial intelligence in the Industrial Internet of Things (IIoT) domain is a complex and fast-moving phenomenon. In just the past few years, AI use cases and applications that were nearly impossible to scale or
Intel Accelerates AI for Industrial Applications Read More +
This blog post was originally published by Opteran Technologies. It is reprinted here with the permission of Opteran Technologies. It’s been another tough year for anyone organising virtual high-tech conferences. Rarely do these events capture the atmosphere and buzz of a real-world face-to-face gathering. So for all of us involved in the computer vision industry
Reflections on 2021 Embedded Vision Summit Read More +
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
This blog post was originally published at ClearML’s website. It is reprinted here with the permission of ClearML. “I MAY NOT HAVE GONE WHERE I INTENDED TO GO, BUT I THINK I HAVE ENDED UP WHERE I INTENDED TO BE.” – DOUGLAS ADAMS ClearML – The Road Ahead Few things in life are certain, least
ClearML Community Roadmap Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Our vision processors are at the forefront of a new wave of driver monitoring applications. Encouraging drivers to pay attention to the road has always been a daunting challenge. Mobile devices provide a steady source of distraction,
Helping Drivers Stay Focused Read More +
Clear vision using glasses (Photo by timJ on Unsplash) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Autonomous driving, facial recognition, traffic surveillance, person tracking, and object counting, all of these applications have one thing in common, Computer Vision (CV). Since the success of deep
Challenges of Running Deep Learning Computer Vision on Computationally Limited Devices Read More +
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In many of our presentations, podcasts, and blogs, we’ve focused the conversation around “Beneficial AI.” Here at BrainChip, we consider applications that aim to improve the human or global condition to be beneficial. This could apply to
Beneficial AI: The More Advanced, The More Beneficial Read More +
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