Accelerate Computer Vision & Deep Learning with OpenVINO™ toolkit

Автор: админ Последнее обновление: 21.03.2019 - 14:55
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Philips Performs Fast AI-Driven Medical Imaging on Intel CPUs

Intel teamed up with Philips to deliver high performance, efficient deep learning inference on patients’ X-rays and computed tomography (CT) scans without the need for accelerators.

Автор: админ Последнее обновление: 09.11.2018 - 13:38
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Course: Deep Learning Inference with Intel® FPGAs | Intel® AI Developer Program

Learn how to deploy a computer vision application on a CPU, and then accelerate the deep learning inference on the FPGA.
Автор: Anthony J. (Intel) Последнее обновление: 12.07.2019 - 11:01

AI on PC: Introduction to Deep Learning Inference on the PC

Artificial intelligence (AI) will reach into nearly all domains of computing. None more so as where human-computing interactions will be at its most critical, especially AI on PCs.

Автор: админ Последнее обновление: 20.12.2018 - 15:37

Computer Vision Annotation Tool: A Universal Approach to Data Annotation

At Intel, one of the projects we’re undertaking research on is developing computer vision algorithms based on deep neural networks (DNNs) and how to streamline the process.

Автор: Sekachev, Boris (Intel) Последнее обновление: 04.03.2019 - 10:33

Leverage Multiple Intel® Neural Compute Sticks with Intel® Distribution of OpenVINO™ Toolkit

Use more than one Intel® Neural Compute Stick 2 to experiment with inference performance enhancement.
Автор: Foster, Whitney (Intel) Последнее обновление: 18.04.2019 - 12:51
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Intel® Neural Compute Stick 2

Автор: админ Последнее обновление: 18.04.2019 - 12:51

Performance Boosting in Seldon

The Seldon Core open source machine learning deployment platform facilitates management of inference pipelines
Автор: Dariusz T. (Intel) Последнее обновление: 14.06.2019 - 10:48