Microsoft’s open-source KubeAI Application Nucleus is a low-touch, Kubernetes-based system for building and running machine learning applications for edge devices. Computer vision is an ...

The demand for such camera vision systems, which increasingly ... AI processor for enabling data-center-class performance on edge devices. Baum has over 17 years of experience in system ...

Inevitably there is liberal talk of AI and machine learning ... giving developers on Edge Impulse’s platform the ability to target Qualcomm Dragonwing processors, which feature superior on-device AI ...

LuminX, a San Francisco-based AI company redefining warehouse operations, has announced a $5.5 million seed funding round to ...

The new product is called Palette Edgematic, and is a no-code, drag-and-drop software platform for deploying machine learning ... Edge devices are the sensor arrays and monitoring computer systems ...

Learn More Today’s demand for real-time data analytics at the edge marks the dawn of a new era in machine learning (ML ... focus of helping solve computer vision challenges in smart vision ...

and scaling edge machine learning models, announced today the achievement of breakthrough computer vision capabilities for embedded ML applications with NVIDIA Tao. This includes full integration ...

Open-Q 8550CS System-on-Module intended for Edge AI computing Credit: Lantronix Powered by Qualcomm’s Dragonwing QCS8550 processor, this production-ready module provides low-power, on-device ...

Abstract: Deep learning has witnessed pervasive deployment on edge devices over the past decade, especially for computer vision applications. However, its vulnerability to adversarial attacks, where ...