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Intel® AI Builders

Solution Brief
Intel® AI Builders - Solution Brief
Intel® AI Builders - Solution Brief

Flutura Cerebra VISION Intelligence Enhances Worker Safety

This Solution Brief highlights how the Flutura Cerebra VISION Intelligence platform can help detect and alert personnel to potential real-time safety violations in an industrial environment. Cerebra VISION Intelligence analyzes video data from thermal cameras, industrial cameras, CCTVs, drones, and other sources.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Energy and Utilities, Manufacturing | Model Training - Models cant be re-trained - Inference only | Offering Type - AI Software/SaaS | Software Libraries - Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - ResNet50 | Use Case - Image / Object Detection / Recognition / Classification, Anomaly Detection, Video Surveillance and Analytics

This Solution Brief highlights how the Flutura Cerebra VISION Intelligence platform can help detect and alert personnel to potential real-time safety violations in an industrial environment. Cerebra VISION Intelligence analyzes video data from thermal cameras, industrial cameras, CCTVs, drones, and other sources.

Solution Brief
Intel® AI Builders - Solution Brief
Intel® AI Builders - Solution Brief

Accipio Ix: Identifies Missed ICH in Head Trauma Patient. Capital Health: A Case Study

This Solution Brief highlights how, as the magnitude of the patient care load increased at Capital Health hospital in New Jersey, MaxQ AI’s Accipio Ix has proven to be a seamless, powerful, and simple solution assisting the skilled physician team.
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family | Framework Optimizations - Caffe, Caffe2 | Industry - Healthcare | Model Training - Models can be trained - requires labeled data | Operating System - Windows | Solution Geographic Availability - Other - Europe and Africa, Other - North and South America | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Proprietary, VGG-19, Unet | Use Case - Medical imaging, analysis and diagnostics

This Solution Brief highlights how, as the magnitude of the patient care load increased at Capital Health hospital in New Jersey, MaxQ AI’s Accipio Ix has proven to be a seamless, powerful, and simple solution assisting the skilled physician team.

Case Study
Intel® AI Builders - Case Study
Intel® AI Builders - Case Study

The Use Of Accipio Ax Could Have Helped Avoid the Errant Administration of tPA. A Case Study.

Correctly identifying suspected intracranial hemorrhage (ICH) could help prevent the in-error administration of tPA to a stroke patient. Assistance in ICH identification for stroke treatment care can make a difference. This case study outlines the impact of utilizing AI solutions to empower the physician treatment decision.
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family | Framework Optimizations - Caffe, Caffe2 | Industry - Healthcare | Model Training - Models can be trained - requires labeled data | Operating System - Windows | Solution Geographic Availability - Other - Europe and Africa, Other - North and South America | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Proprietary, VGG-19, Unet | Use Case - Medical imaging, analysis and diagnostics

Correctly identifying suspected intracranial hemorrhage (ICH) could help prevent the in-error administration of tPA to a stroke patient. Assistance in ICH identification for stroke treatment care can make a difference. This case study outlines the impact of utilizing AI solutions to empower the physician treatment decision.

Case Study
Intel® AI Builders - Case Study
Intel® AI Builders - Case Study

The Use Of Accipio Ax Could Have Led to Faster ICH Identification. A Case Study.

Previously missed ICH, could become a possible “never event.” During the evaluation of MaxQ AI’s ACCIPIO ICH and Stroke Platform at an acute hospital facility, this was the goal. For stroke patients, early adoption of this AI solution could have an impact to critical decisions in the treatment path and save precious time. This case study outlines the impact of utilizing AI solutions to empower the physician treatment decision.
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family | Framework Optimizations - Caffe, Caffe2 | Industry - Healthcare | Model Training - Models can be trained - requires labeled data | Operating System - Windows | Solution Geographic Availability - Other - Europe and Africa, Other - North and South America | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Proprietary, VGG-19, Unet | Use Case - Medical imaging, analysis and diagnostics

Previously missed ICH, could become a possible “never event.” During the evaluation of MaxQ AI’s ACCIPIO ICH and Stroke Platform at an acute hospital facility, this was the goal. For stroke patients, early adoption of this AI solution could have an impact to critical decisions in the treatment path and save precious time. This case study outlines the impact of utilizing AI solutions to empower the physician treatment decision.

Solution Brief
Intel® AI Builders - Solution Brief
Intel® AI Builders - Solution Brief

Intel® AI Technologies Help Onesait Smart Fraud Reduce Fraudulent Activities

This Solution Brief highlights how Minsait, an Indra company, developed Onesait Smart Fraud, a customer-centric, real-time fraud detection solution for financial services, banking, and electronic payments and transfers. Minsait utilized 2nd Gen Intel Xeon® Scalable processors help recognize new fraud patterns, giving fraud analysts stronger, more accurate detection, and management tools
Categories: 
Application Type - Machine Learning, Deep Learning | Deployment Channel - CSP - Microsoft Azure, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow, Keras | Industry - Finance and Insurance | Model Training - Models can be trained - data input only required | Offering Type - AI Software/SaaS | Operating System - Linux | Solution Geographic Availability - Worldwide | Topology - Other | Use Case - Anomaly Detection

This Solution Brief highlights how Minsait, an Indra company, developed Onesait Smart Fraud, a customer-centric, real-time fraud detection solution for financial services, banking, and electronic payments and transfers. Minsait utilized 2nd Gen Intel Xeon® Scalable processors help recognize new fraud patterns, giving fraud analysts stronger, more accurate detection, and management tools

White Paper
Intel® AI Builders - White Paper
Intel® AI Builders - White Paper

Wahtari nLine Quality Control On-The-Edge

This White Paper highlights the Wahtari Inline quality control solution that uses Intel AI for 360 degree surface inspection of tube-shaped products on the edge with just gold samples.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable, Intel® Movidius™ | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow, Keras | Industry - Cross-Industry, Manufacturing | Model Training - Models can be trained - requires labeled data | Offering Type - AI Appliance | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Toolkits - Other, Intel® Distribution of OpenVINO™ toolkit | Topology - Other | Use Case - Image / Object Detection / Recognition / Classification, Anomaly Detection, Factory Automation

This White Paper highlights the Wahtari Inline quality control solution that uses Intel AI for 360 degree surface inspection of tube-shaped products on the edge with just gold samples.

Solution Brief
Intel® AI Builders - Solution Brief
Intel® AI Builders - Solution Brief

Accenture Applied Intelligence Platform Powered by Intel Infrastructure Solutions

This Solution Brief highlights the Accenture Applied Intelligence Platform (AIP), powered by Intel® infrastructure solutions. A highly flexible and fully tested platform includes a comprehensive set of analytics applications and tools guaranteed to interoperate.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Cross-Industry, Other | Offering Type - AI Software/SaaS | Solution Geographic Availability - Worldwide | Use Case - Other (pls specify)

This Solution Brief highlights the Accenture Applied Intelligence Platform (AIP), powered by Intel® infrastructure solutions. A highly flexible and fully tested platform includes a comprehensive set of analytics applications and tools guaranteed to interoperate.

White Paper
Intel® AI Builders - White Paper
Intel® AI Builders - White Paper

Diabetic Retinopathy Detection Powered By Intel AI

This White Paper discusses a compute intensive AI developed by QuEST solution used to classify images to assist in the detection of Diabetic Retinopathy. Optimizing for Intel technology, QuEST has been able to increase their performance and provide a better experience for clinicians and patients.
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family, Intel® Movidius™ | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - Torch/PyTorch | Industry - Healthcare | Model Training - Models can be trained - requires labeled data | Offering Type - AI Appliance | Operating System - Linux | Software Libraries - Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Other | Use Case - Medical imaging, analysis and diagnostics

This White Paper discusses a compute intensive AI developed by QuEST solution used to classify images to assist in the detection of Diabetic Retinopathy. Optimizing for Intel technology, QuEST has been able to increase their performance and provide a better experience for clinicians and patients.

Solution Brief
Intel® AI Builders - Solution Brief
Intel® AI Builders - Solution Brief

Up To 3.1x Faster with Intel Optimizations, SparkPredict Learns Faster to Deploy Quicker

This Solution Brief highlights SparkPredict from AI Builder member SparkCognition, a turnkey machine learning-based solution that analyzes machine sensor data and returns actionable insights, flagging suboptimal operations and identifying impending failures before they occur. With multi-process and library optimizations Intel was able to achieve faster performance of SparkPredict than before optimizations.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Google Cloud, On-premise (Private Cloud, Other), Hybrid Cloud | Framework Optimizations - Custom/Other | Industry - Cross-Industry, Energy and Utilities, Manufacturing | Model Training - Models can be trained - requires labeled data | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Solution Geographic Availability - Worldwide | Use Case - Predictive maintenance and analytics

This Solution Brief highlights SparkPredict from AI Builder member SparkCognition, a turnkey machine learning-based solution that analyzes machine sensor data and returns actionable insights, flagging suboptimal operations and identifying impending failures before they occur. With multi-process and library optimizations Intel was able to achieve faster performance of SparkPredict than before optimizations.

Case Study
Intel® AI Builders - Case Study
Intel® AI Builders - Case Study

M. Tuberculosis Detection with Intel® AI

This Solution Brief highlights how KFBIO utilized PyTorch 1.6 with integrated Intel MKL-DNN to deliver faster inferencing on Intel Xeon® Gold 6252 processors to aid in M. Tuberculosis Detection.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - Torch/PyTorch | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - China (PRC) | Topology - Proprietary, Other | Use Case - Medical imaging, analysis and diagnostics

This Solution Brief highlights how KFBIO utilized PyTorch 1.6 with integrated Intel MKL-DNN to deliver faster inferencing on Intel Xeon® Gold 6252 processors to aid in M. Tuberculosis Detection.