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 +
This blog post was originally published at videantis' website. It is reprinted here with the permission of videantis. Technology more and more influences how we live our daily lives. Whether it’s new technology in our vehicle that prevents us from getting into an accident, our mobile phone that connects us to our friends and family,
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Are you a data scientist who wants to optimize the performance of your machine learning (ML) inference workloads? Perhaps you’ve heard of the Intel® Optimization for TensorFlow* and the Intel® Math Kernel Library for Deep Neural Networks
Introducing the Model Zoo for Intel Architecture Read More +
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