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Last Updated: 07/27/2021
Create an end-to-end pipeline to detect social distancing, a COVID-19 preventive measure.
Optimize the deployment of deep learning models and network capabilities for digital images by applying cloud native architectures for on-premise health care applications.
Deploy industrial AI application for product quality checks using OpenNESS platform. Includes support for two types of defect detection.
Use deep learning-based computer vision algorithms optimized by the Intel® Distribution of OpenVINO™ toolkit to detect and recognize characters of printed text lines in an industrial scenario.
Create an Artificial Intelligence (AI) based alert that notifies staff if a medical patient is at risk of falling. Use IP cameras to detect and monitor patient positions and track fall potential.
Use a segmentation model and computer vision algorithms optimized by the Intel® Distribution of OpenVINO™ toolkit to segment defects on a surface, improving quality assurance accuracy.
The Intel® Edge Software Device Qualification (Intel® ESDQ) offers a validation framework for testing your customized build derived from an Edge Software Hub package.
Learn how to train and accelerate linear regression models with Intel-optimized scikit-learn by altering only one line of code.
Use video analytics solutions based on Intel® Distribution of OpenVINO™ Toolkit models to support retail settings for pandemic scenarios, helping to reduce public health risks.
Learn more about the oneDNN optimizations available in the latest Intel TensorFlow release.
Find out how the addition of oneMKL APIs is enabling developers to use a single DPC++-based API across multiple CPU and accelerator architectures.