LETTER FROM THE EDITOR Dear Colleague, We are excited to announce David Patterson as our first keynote speaker at this year’s Embedded Vision Summit, taking place May 18-21 at the Santa Clara, California Convention Center. Patterson is a UC Berkeley professor of the graduate school, a Google distinguished engineer and the RISC-V Foundation Vice-Chair. He […]
Edge AI and Vision Insights: March 4, 2020 Edition Read More +
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. Back in 2018, Intel launched the Intel® Distribution of OpenVINO™ toolkit. Since then, it’s been widely adopted by partners and developers to deploy AI-powered applications in various industries, from self-checkout kiosks to medical imaging to industrial robotics.
SAN JOSE, Calif.–(BUSINESS WIRE)–GrAI Matter Labs (GML) today unveiled a hardware development kit (HDK) for GrAI One, the world’s first AI processor optimized for ultra-low latency and low power processing at the edge. GML is making the GrAI One HDK available for companies seeking to gain an advantage in real-time, intelligent processing of edge sensor
GrAI Matter Labs Unveils GrAI One Hardware Development Kit at tinyML Summit, 2020 Read More +
This market research report was originally published at Tractica’s website. It is reprinted here with the permission of Tractica. Much is written about robot systems, but what about the components that comprise these machines? Key technologies include the robot arms, grippers, actuators, sensors, vision systems, power systems, and controllers. The robotics market is experiencing a
Robotic Components: The Building Blocks of Robotic Life Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This post is the second in a series (Part 1) that addresses the challenges of training an accurate deep learning model using a large public dataset and deploying the model on the edge for real-time inference using NVIDIA
Building a Real-time Redaction App Using NVIDIA DeepStream, Part 2: Deployment Read More +
Develop and Deploy on Akida Deeply Learned Neural Networks in a standard TensorFlow/Keras Environment February 12, 2020–SAN FRANCISCO–(BUSINESS WIRE)– BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power, high-performance edge AI technology, today announced that access to its Akida™ Development Environment (ADE) no longer requires pre-approval, now allowing designers to freely develop systems
BrainChip’s Akida Development Environment Now Freely Available for Use Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Some of the biggest challenges in deploying an AI-based application are the accuracy of the model and being able to extract insights in real time. There’s a trade-off between accuracy and inference throughput. Making the model more accurate
Building a Real-time Redaction App Using NVIDIA DeepStream, Part 1: Training Read More +
This market research report was originally published at Tractica’s website. It is reprinted here with the permission of Tractica. It was quite easy to walk away from Consumer Electronics Show (CES) 2020 feeling disappointed with the AI capabilities showcased, though the technology was omnipresent at the show. There were plenty of robots, ranging from Samsung’s
At CES 2020, AI Hype Cycle at Maximum, but Dismiss at Your Own Risk Read More +
February 26, 2020 – Vision Components adapts the widest range of machine vision image sensors on MIPI camera modules and is the first manufacturer to also integrate non-native MIPI sensors such as Sony Pregius IMX250 and IMX252. The portfolio currently comprises 10 sensors with resolutions up to 20 MP and is being continuously expanded. It
MIPI Camera Boards with Largest Sensor Variety Read More +
Snapdragon XR2 Reference Design Delivers an End-to-End Boundless XR Over 5G Solution and Helps to Shorten Commercialization Time of XR Devices for OEMs Feb 25, 2020 – San Diego – Qualcomm Technologies, Inc. unveiled a new extended reality (XR) reference design headset based on the Qualcomm® Snapdragon™ XR2 Platform, making it the world’s first 5G-enabled
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