Intel

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Intel’s Recommendations for the U.S. National Strategy on Artificial Intelligence

This article was originally published at Intel's website. It is reprinted here with the permission of Intel. Executive Summary Nations that invest in Artificial Intelligence (AI) stand to gain tremendous advantages across industry, government and society at large. On February 11, 2019 the White House issued an Executive Order on Maintaining American Leadership in Artificial […]

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New Computer Vision Tool Accelerates Annotation of Digital Images and Video

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Data scientists need annotated data (and lots of it) to train the deep neural networks (DNNs) at the core of AI workflows. Obtaining annotated data, or annotating data yourself, is a challenging and time-consuming process. For example,

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Improving TensorFlow Inference Performance on Intel Xeon Processors

This article was originally published at Intel's website. It is reprinted here with the permission of Intel. TensorFlow* is one of the most popular deep learning frameworks for large-scale machine learning (ML) and deep learning (DL). Since 2016, Intel and Google engineers have been working together to optimize TensorFlow performance for deep learning training and

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Intel Neural Compute Stick 2 for Medical Imaging

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Intel has been an integral part of hospital technology for almost 50 years. From desktop computers to MRI scanners, diagnostic monitors, and even portable X-Ray machines, we have been at the forefront of healthcare transformation. So it

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Intel Demonstration of RealSense Cameras for Visual Navigation of Wheeled Autonomous Robots

Roy Karunakaran, Director of Marketing for RealSense at Intel, delivers a product demonstration at the January 2019 Vision Industry and Technology Forum. Specifically, Karunakaran demonstrates the use of the Intel® RealSense™ Cameras T265 and D435 in wheeled autonomous robots. The RealSense Camera T265 is used to enable Visual SLAM, while the D435 enables obstacle avoidance.

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Intel Introduction to the RealSense Tracking Camera T265

Roy Karunakaran, Director of Marketing for RealSense at Intel, delivers a product demonstration at the January 2019 Vision Industry and Technology Forum. Specifically, Karunakaran introduces the Intel® RealSense™ T265 camera, which provides off-the-shelf tracking capabilities using Visual SLAM (V-SLAM) and can be used in numerous embedded applications, such as robotics, drones and augmented reality. The

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Introducing INT8 Quantization for Fast CPU Inference Using OpenVINO

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Deep learning framework optimizations and tools that streamline deployment are advancing the adoption of inference applications on Intel® platforms. Reducing model precision is an efficient way to accelerate inference on processors that support low precision math, with

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Intel Announces New Class of RealSense Stand-Alone Inside-Out Tracking Camera

January 23, 2019 – What’s New: Intel today introduced the Intel® RealSense™ Tracking Camera T265, a new class of stand-alone inside-out tracking device that will provide developers with a powerful building block for autonomous devices, delivering high-performance guidance and navigation. The T265 uses proprietary visual inertial odometry simultaneous localization and mapping (V-SLAM) technology with computing at the edge

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2018 Vision Product of the Year Award Winner Showcase: Intel (Cameras, Modules, and Sensors)

Intel's RealSense D400 Depth Camera Family (D415 and D435) is the 2018 Vision Product of the Year Award Winner in the Cameras, Modules, and Sensors category. The Intel® RealSense D400 family of Depth cameras and modules brings enhanced 3D perception to more devices and machines that only see 2D today. The D400 family offers turnkey

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Using Autonomous Vehicle Technology to Make Roads Safer Today

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Technologies Developed for Fully Autonomous Vehicles Can Improve the Advanced Driver Assistance Systems Already in Wide Use Safety has always been our North Star. We view it as a moral imperative to pursue a future with autonomous

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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