Reset Search
Keyword
BUILDERS PROGRAM

BUILDERS PROGRAM Reset

Intel® AI Builders

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 - Other, Proprietary | 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.

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

Use Automated Machine Learning To Speed Time-to-Value for AI

This Solution Brief highlights how automated machine learning, powered by DataRobot’s AutoML platform and the latest Intel Xeon Scalable processors and Intel Optane persistent memory, can quickly train large datasets and build production-ready machine-learning models.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other | Framework Optimizations - TensorFlow, Keras | Industry - Cross-Industry | Model Training - Models can be trained - data input only required, Models can be trained - online learning, Models can be trained - requires labeled data | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Solution Geographic Availability - Worldwide | Use Case - Predictive maintenance and analytics, Robotic Process Automation

This Solution Brief highlights how automated machine learning, powered by DataRobot’s AutoML platform and the latest Intel Xeon Scalable processors and Intel Optane persistent memory, can quickly train large datasets and build production-ready machine-learning models.

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

H3C Deploys OneClick AI to Improve Operational Efficiency and Forecasting Accuracy

This Solution Brief highlights how OneClick.ai Augmented Forecasting Solution powered by Intel® architecture and Intel AI technologies improved H3C’s customer service level and reduced procurement costs.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Cross-Industry, Professional and Business Services | Model Training - Models can be trained - data input only required, Models can be trained - online learning | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Distribution for Python, Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - Worldwide | Topology - Proprietary | Use Case - Predictive maintenance and analytics, Data Analytics, Factory Automation, Image / Object Detection / Recognition / Classification

This Solution Brief highlights how OneClick.ai Augmented Forecasting Solution powered by Intel® architecture and Intel AI technologies improved H3C’s customer service level and reduced procurement costs.

Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Huiying Medical CT Scanning Solution Aids Early Detection of COVID-19 Infections

This Solution Brief highlights how Huiying Medical (HYHY), a leading developer of healthcare technology solutions in China, have successfully deployed a system for early detection and diagnosis of COVID-19 infections using CT scans, complementing RT-PCR testing and helping identify suspected cases where lab testing is not readily accessible.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Deployment Channel - CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - Torch/PyTorch, TensorFlow, Keras | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only, Models can be trained - requires labeled data | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Distribution for Python, Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - China (PRC) | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - ResNet50, InceptionV3, Proprietary | Use Case - Medical imaging, analysis and diagnostics

This Solution Brief highlights how Huiying Medical (HYHY), a leading developer of healthcare technology solutions in China, have successfully deployed a system for early detection and diagnosis of COVID-19 infections using CT scans, complementing RT-PCR testing and helping identify suspected cases where lab testing is not readily accessible.

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

John Snow Labs’ Spark NLP for Healthcare Library

This Solution Brief highlights how John Snow Labs’ Spark NLP for healthcare library speeds up automated language processing with Intel® AI Technologies
Categories: 
Application Type - Machine Learning, Deep Learning, Other | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - Custom/Other, Keras, TensorFlow | Industry - Cross-Industry, Healthcare | Model Training - Models can be trained - data input only required, Models can be trained - online learning, Models can be trained - requires labeled data | Operating System - Windows, Linux, Other (pls specify) | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), Compute Library for Deep Neural Networks (clDNN), Intel® Machine Learning Scaling Library (Intel® MLSL), Intel® Distribution for Python, Intel® Math Kernel Library (Intel® MKL), Intel® Data Analytics Acceleration Library (Intel® DAAL) | Solution Geographic Availability - Worldwide | Toolkits - Other | Topology - BERT, NMT, Faster RCNN, Other, LSTM, Proprietary, RNN | Use Case - Data Preparations and Management, Content generation, Data Analytics, Conversational Bots and Voice Agents, Drug Discovery, Medical imaging, analysis and diagnostics, Other (pls specify), Robotic Process Automation, Video Surveillance and Analytics, Anomaly Detection

This Solution Brief highlights how John Snow Labs’ Spark NLP for healthcare library speeds up automated language processing with Intel® AI Technologies

Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – Hoobox's The Wheelie

This Product Brief highlights how HooBOX’s Wheelie is a kit that allows people to drive their wheelchair using facial expressions giving back autonomy and mobility to them. Using their own technology to recognize the expressions, wheelie is a kit with a few items that can allow any person that is not able to move the wheelchair by themselves to be independent. The kit comes with a Intel® Realsense™ Depth Camera, Intel® NUC Mini PC, a mechanical hand and all its cables. Implementing Intel® Distribution of OpenVINO™ toolkit with the CPU improved inference performance, resulting in a faster execution of a responsive motion change for both a comfortable experience and user safety.
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only | Offering Type - AI Appliance, AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - India, United States, Brazil, China (PRC) | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - MobileNet | Use Case - Facial Detection / Recognition / Classification

This Product Brief highlights how HooBOX’s Wheelie is a kit that allows people to drive their wheelchair using facial expressions giving back autonomy and mobility to them. Using their own technology to recognize the expressions, wheelie is a kit with a few items that can allow any person that is not able to move the wheelchair by themselves to be independent. The kit comes with a Intel® Realsense™ Depth Camera, Intel® NUC Mini PC, a mechanical hand and all its cables. Implementing Intel® Distribution of OpenVINO™ toolkit with the CPU improved inference performance, resulting in a faster execution of a responsive motion change for both a comfortable experience and user safety.

Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – Mphasis DeepInsights

This Product Brief highlights how Mphasis DeepInsights is a patented cognitive intelligence platform, which enables enterprises to gain faster and more effective access to insights from data. Cognitive intelligence is one of the major pillars on which tomorrow's enterprises are being built. By turning nearly every aspect of inferencing and decision making, it is revolutionizing the competitive differentiation of enterprises. DeepInsights is powered by state-of-the-art algorithms in machine learning, neural network, deep learning, semantics, image analytics, graph theory, predictive analysis and natural language processing. This further enables enterprises to engage with their customers through personalized experiences and explore newer business models that leverage the potential of anywhere any time on any device computing capabilities
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon Scalable | Framework Optimizations - TensorFlow, Keras | Industry - Cross-Industry, Energy and Utilities, Finance and Insurance, Healthcare, Manufacturing, Other, Real Estate, Rental and Leasing, Communications, Transportation and Warehousing | Model Training - Models can be trained - data input only required, Models can be trained - requires labeled data | Operating System - Windows, Linux | Software Libraries - Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Topology - ResNet50, LSTM, RNN, BERT, Faster RCNN, Other, Yolo | Use Case - Content generation, Conversational Bots and Voice Agents, Predictive maintenance and analytics, Robotic Process Automation, Image / Object Detection / Recognition / Classification, Data Preparations and Management, Anomaly Detection, Data Analytics, Factory Automation

This Product Brief highlights how Mphasis DeepInsights is a patented cognitive intelligence platform, which enables enterprises to gain faster and more effective access to insights from data. Cognitive intelligence is one of the major pillars on which tomorrow's enterprises are being built. By turning nearly every aspect of inferencing and decision making, it is revolutionizing the competitive differentiation of enterprises. DeepInsights is powered by state-of-the-art algorithms in machine learning, neural network, deep learning, semantics, image analytics, graph theory, predictive analysis and natural language processing. This further enables enterprises to engage with their customers through personalized experiences and explore newer business models that leverage the potential of anywhere any time on any device computing capabilities

Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – MaxQ AI Accipio Ix

This Product Brief highlights how MaxQ AI’s Accipio Ix solution applies augmented machine learning to automatically analyze CT scan images. This accelerated image processing and computation flow enables physicians to prioritize patients when time is of the utmost importance. This technology is designed to be natively integrated into CT and PACS within the existing workflow to help clinicians assess patients suspected of acute head trauma or stroke, where intracranial hemorrhage may be present.Accipio Ix has received both FDA clearance and CE Mark certification. In addition, MaxQ has partnerships with top CT and PACS companies including GE Healthcare, Samsung Neurologica and IBM Watson.
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family | Framework Optimizations - Caffe2, Caffe | Industry - Healthcare | Model Training - Models can be trained - requires labeled data | Operating System - Windows | Solution Geographic Availability - Other - North and South America, Other - Europe and Africa | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Unet, Proprietary, VGG-19 | Use Case - Medical imaging, analysis and diagnostics

This Product Brief highlights how MaxQ AI’s Accipio Ix solution applies augmented machine learning to automatically analyze CT scan images. This accelerated image processing and computation flow enables physicians to prioritize patients when time is of the utmost importance. This technology is designed to be natively integrated into CT and PACS within the existing workflow to help clinicians assess patients suspected of acute head trauma or stroke, where intracranial hemorrhage may be present.Accipio Ix has received both FDA clearance and CE Mark certification. In addition, MaxQ has partnerships with top CT and PACS companies including GE Healthcare, Samsung Neurologica and IBM Watson.

Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – SparkCognition Darwin

This Product Brief highlights how SparkCognition's Darwin is an automated machine learning (AutoML) product that empowers you with the right set of tools to quickly prototype use cases and achieve results faster than traditional data science methods. Darwin accelerates data science at scale, enabling you to assess the quality of your dataset and advising you on how to fix problems to make it suitable for the model-building process.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Google Cloud, On-premise (Private Cloud, Other) | Framework Optimizations - Torch/PyTorch | Industry - Cross-Industry, Energy and Utilities, Finance and Insurance, Manufacturing | Model Training - Models cant be re-trained - Inference only, Models can be trained - data input only required, Models can be trained - online learning, Models can be trained - requires labeled data | Offering Type - AI Platform as a Service (AI PaaS) | Operating System - Linux | Software Libraries - Intel® Machine Learning Scaling Library (Intel® MLSL) | Topology - LSTM, Proprietary | Use Case - Predictive maintenance and analytics, Data Preparations and Management, Data Analytics | Solution Geographic Availability - Worldwide

This Product Brief highlights how SparkCognition's Darwin is an automated machine learning (AutoML) product that empowers you with the right set of tools to quickly prototype use cases and achieve results faster than traditional data science methods. Darwin accelerates data science at scale, enabling you to assess the quality of your dataset and advising you on how to fix problems to make it suitable for the model-building process.

Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – Taboola Inferencing in the Cloud

This Product Brief highlights how Intel and Taboola engineers collaborated to optimize TensorFlow Serving performance for Taboola model to deliver a significant speed-up over baseline. Taboola chose Intel Xeon Scalable over P4 due to better integration with their web services. Taboola has now deployed Intel-optimized TensorFlow serving on Intel Scalable servers.
Categories: 
Application Type - Deep Learning, Other | Compute - Intel® Xeon Scalable | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Software | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Topology - Other, Proprietary

This Product Brief highlights how Intel and Taboola engineers collaborated to optimize TensorFlow Serving performance for Taboola model to deliver a significant speed-up over baseline. Taboola chose Intel Xeon Scalable over P4 due to better integration with their web services. Taboola has now deployed Intel-optimized TensorFlow serving on Intel Scalable servers.