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 +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. To drive better than humans, autonomous vehicles must first see better than humans. Building reliable vision capabilities for self-driving cars has been a major development hurdle. By combining a variety of sensors, however, developers have been able
How Does a Self-Driving Car See? Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Healthcare is a multitrillion-dollar global industry, growing each year as average life expectancy rises — and with nearly unlimited facets and sub-specialties. For medical professionals, new technologies can change the way they work, enable more accurate diagnoses
How AI Is Transforming Healthcare Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. When Mobileye set out to design a safety concept for autonomous vehicles (AVs), we first had to examine the concepts and mechanisms that humans use to maintain road safety. We needed a framework fully compliant with the
Digitizing the Social Contract for Safer Roads Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. From enabling security throughout a city, to the rapid identification and classification of complex medical imaging data, Intel is accelerating the value of IoT. As the billions of connected things generate massive data at ever-increasing rates, the
This blog post is an abridged version of one originally published at Cadence's website. It is reprinted here with the permission of Cadence. I like to date technical transitions from specific events, even though realistically they take place over an extended period. For example, I think the modern era of IC design and EDA started
ImageNet: The Benchmark that Changed Everything Read More +
This blog post was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. The CUDA Fortran compiler from PGI now supports programming Tensor Cores with NVIDIA’s Volta V100 and Turing GPUs. This enables scientific programmers using Fortran to take advantage of FP16 matrix operations accelerated by Tensor Cores. Let’s take
Tensor Core Programming Using CUDA Fortran Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Many AI applications have data pipelines that include several processing steps when executing inference operations. These steps can include data transformation, inference execution and conditional processing. The Seldon Core* open source machine learning framework facilitates management of
Inference Performance Boost with Seldon on Intel Xeon Scalable Processors Read More +
This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. One of the biggest challenges to AI can be eliciting high-performance deep learning inference that runs at real-world scale, leveraging existing infrastructures. Combining efficiency and flexibility, the Intel® Distribution of OpenVINO™ toolkit (a developer tool suite that
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