This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. As we all watch automakers and autonomous tech companies team up in various alliances, it’s natural to wonder about their significance and what the future will bring. Are we realizing that autonomous driving technology and its acceptance […]
This blog post was originally published by Teleidoscope. It is reprinted here with the permission of Teleidoscope. In our previous post we discuss the various types of computer vision based tracking. At Teleidoscope we’ve dedicated significant time and effort to building a fast and robust Region of Interest (ROI) tracker which we license as is,
Comparing State of the Art Region of Interest Trackers Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. PyTorch acceleration baked into the latest generation of Intel Xeons. That will help speed up the 200 trillion predictions and 6 billion translations Facebook does every day. https://t.co/2gM75pFvrC — Yann LeCun (@ylecun) April 9, 2019 Intel® Deep
Increasing AI Performance and Efficiency with Intel DL Boost Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Detailing the building blocks of autonomous driving, new NVIDIA DRIVE Labs video series provides an inside look at DRIVE software. Editor’s note: No one developer or company has yet succeeded in creating a fully autonomous vehicle. But
DRIVE Labs: How We’re Building Path Perception for Autonomous Vehicles Read More +
This blog post was originally published by Teleidoscope. It is reprinted here with the permission of Teleidoscope. Tracking: To follow a uniquely identified region of interest in a sequence of images. Think about the first 15 minutes of your morning. You open your eyes, get out of bed. Maybe you’re making a cup of coffee,
Computer Vision-based Tracking Approaches Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. In unveiling the specs of his new self-driving car computer at this week’s Tesla Autonomy Day investor event, Elon Musk made several things very clear to the world. First, Tesla is raising the bar for all other
Tesla Raises the Bar for Self-Driving Carmakers Read More +
This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. We run into this question quite often in customer meetings. We license our v-MP6000UDX processor and run applications like CNNs, computer vision algorithms and video codecs on it. Frequently, such algorithms are implemented in hard-wired logic, instead
Can Programmable Processors Really Be Smaller Than Hardwired Logic? Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Machine learning harnesses computing power to solve a variety of ‘hard’ problems that seemed impossible to program using traditional languages and techniques. Machine learning avoids the need for a programmer to explicitly program the steps in solving
Machine Learning Acceleration in Vulkan with Cooperative Matrices Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Intel has recently introduced Intel® Deep Learning Boost (Intel® DL Boost), a new set of embedded processor technologies designed to accelerate deep learning applications. Intel DL Boost includes new Vector Neural Network Instructions (VNNI) that can be
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. It’s important for the model to make accurate predictions when using a deep learning model for production. How efficiently these predictions happen also matters. Examples of efficiency measurements include electrical engineers measuring energy consumption to pick the best
Pruning Models with NVIDIA Transfer Learning Toolkit Read More +
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