Intel

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 […]

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 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

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

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,