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Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how optimizing the Circuitscape suite of open source connectivity modeling tools allows conservation scientists to take advantage of improved spatial data and work more collaboratively with stakeholders and decision-makers to improve outcomes for wildlife.
Categories: 
Compute - Intel® Xeon Scalable | Framework Optimizations - Custom/Other | Industry - Not for profit, Software | Offering Type - AI Software/SaaS | Operating System - Windows, Linux, Other (pls specify) | Solution Geographic Availability - Worldwide | Use Case - Data Analytics

This solution brief illustrates how optimizing the Circuitscape suite of open source connectivity modeling tools allows conservation scientists to take advantage of improved spatial data and work more collaboratively with stakeholders and decision-makers to improve outcomes for wildlife.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how JLK Inspection’s MobiDo-x and Atroscan products, optimized with the Intel® Distribution of OpenVINO™ toolkit, can help medical professionals reach more people, accelerate screening, and help improve quality of patient care.
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family | Deployment Channel - On-premise (Private Cloud, Other) | Industry - Healthcare | Offering Type - AI Appliance | Solution Geographic Availability - Worldwide, Korea | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Use Case - Image/Object Detection/Recognition/Classification, Medical imaging, analysis and diagnostics

This solution brief illustrates how JLK Inspection’s MobiDo-x and Atroscan products, optimized with the Intel® Distribution of OpenVINO™ toolkit, can help medical professionals reach more people, accelerate screening, and help improve quality of patient care.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how using Intel Optimization for TensorFlow and Intel Distribution of OpenVINO toolkit KFBIO increased inference performance of cervical cancer screening by up to 8.4X1 on Intel Xeon Gold 6148 processors, compared to non-optimized models.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Framework Optimizations - TensorFlow | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only | Operating System - Linux | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - China (PRC) | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Other | Use Case - Image/Object Detection/Recognition/Classification, Medical imaging, analysis and diagnostics

This solution brief illustrates how using Intel Optimization for TensorFlow and Intel Distribution of OpenVINO toolkit KFBIO increased inference performance of cervical cancer screening by up to 8.4X1 on Intel Xeon Gold 6148 processors, compared to non-optimized models.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how Graph Convolutional Neural Network algorithms optimized with Intel AI software and running on 2nd Gen Intel Xeon® Scalable processors are 2.1X faster.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Framework Optimizations - TensorFlow | Industry - Healthcare, Manufacturing | 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 | Topology - Proprietary | Use Case - Drug Discovery

This solution brief illustrates how Graph Convolutional Neural Network algorithms optimized with Intel AI software and running on 2nd Gen Intel Xeon® Scalable processors are 2.1X faster.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper highlights how Intel, Dell, and researchers at the University of Florida have collaborated to help data scientists optimize the analysis of healthcare data sets using artificial intelligence (AI). Healthcare workloads, particularly in medical imaging, require more memory usage than other AI workloads because they often use higher resolution 3D images.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon Scalable | Framework Optimizations - TensorFlow, Keras | Industry - Healthcare | Model Training - Models can be trained - data input only required | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - Worldwide | Topology - Unet | Use Case - Image/Object Detection/Recognition/Classification

This white paper highlights how Intel, Dell, and researchers at the University of Florida have collaborated to help data scientists optimize the analysis of healthcare data sets using artificial intelligence (AI). Healthcare workloads, particularly in medical imaging, require more memory usage than other AI workloads because they often use higher resolution 3D images.

Intel® AI Builders
Case Study
Intel® AI Builders - Case Study
This case study illustrates how Capital Health uses AI technologies from MaxQ AI and Intel to augment radiologists’ expertise, helping speed diagnosis and optimize care for brain-injured patients.
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 case study illustrates how Capital Health uses AI technologies from MaxQ AI and Intel to augment radiologists’ expertise, helping speed diagnosis and optimize care for brain-injured patients.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how recurrent neural networks, AI-based forecasting engines, and optimized frame-works from Intel help convert raw data into market insights to guide decision making and inform investors in speciality industries.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow, Keras | Industry - Arts and Entertainment, Cross-Industry, Retail | Offering Type - AI Software/SaaS | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Use Case - Image/Object Detection/Recognition/Classification, Data Analytics

This solution brief illustrates how recurrent neural networks, AI-based forecasting engines, and optimized frame-works from Intel help convert raw data into market insights to guide decision making and inform investors in speciality industries.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper illustrates how HCL used an object detection model based out of SSD inception v2 where they were able to achieve 3X improved inference time while retaining the mAP value on Intel® Xeon® Processors using Intel® Distribution of OpenVINO™ toolkit.
Categories: 
Application Type - Deep Learning | Compute - Intel® Neural Compute Stick (NCS2), Intel® Xeon Scalable, Intel® Core™ Processor Family, Intel® Movidius™, Intel® FPGA | Framework Optimizations - TensorFlow, Keras | Industry - Automotive, Manufacturing | Model Training - Models can be trained - requires labeled data, Models cant be re-trained - Inference only, Models can be trained - data input only required | Operating System - Windows, Linux | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - InceptionV3, SSD | Use Case - Image/Object Detection/Recognition/Classification, Video Surveillance and Analytics

This white paper illustrates how HCL used an object detection model based out of SSD inception v2 where they were able to achieve 3X improved inference time while retaining the mAP value on Intel® Xeon® Processors using Intel® Distribution of OpenVINO™ toolkit.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper looks at the transformation under way in AI-powered contact centers and the platform requirements for successful implementations. One such implementation shows how Scalable processors help accelerate conversational solutions from AI Builders member, Gnani.ai.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Automotive, Cross-Industry, Finance and Insurance, Government, Real Estate, Rental and Leasing, Communications | Model Training - Models cant be re-trained - Inference only | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Topology - Proprietary | Use Case - Conversational Bots and Voice Agents

This white paper looks at the transformation under way in AI-powered contact centers and the platform requirements for successful implementations. One such implementation shows how Scalable processors help accelerate conversational solutions from AI Builders member, Gnani.ai.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how ZeroFOX uses the Intel Distribution of OpenVINO toolkit to accelerate their threat detection and bring value to their customers.
Categories: 
Application Type - Machine Learning, Deep Learning, Other | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services | Framework Optimizations - Custom/Other | Industry - Cross-Industry | Model Training - Models can be trained - requires labeled data | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Compute Library for Deep Neural Networks (clDNN) | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Yolo | Use Case - Image/Object Detection/Recognition/Classification

This solution brief highlights how ZeroFOX uses the Intel Distribution of OpenVINO toolkit to accelerate their threat detection and bring value to their customers.