Reset Search
Keyword
BUILDERS PROGRAM

BUILDERS PROGRAM Reset

Intel® Network Builders
White Paper
Intel® Network Builders - White Paper
Deep packet inspection (DPI) is a critical element of 4G/5G wireless networks as it is mandatory for application awareness and flow prioritization for proper service delivery and high quality of experience. Tests of R&S®PACE 2 DPI performance show a 33.8% increase on Intel® Xeon® Scalable processor-based servers when upgrading to a new CPU and demonstrate the performance impact between aligned vs misaligned non-uniform memory access (NUMA) in dual socket systems.
Categories: 
Categories - Software Platforms, Test Tools and Reporting Software | Intel Technologies and Platforms - 2nd gen Intel Xeon Scalable processor, 1st gen Intel Xeon Scalable processor | Network Location - Device Edge, On Premises | Network Technologies - 5G, vRAN, Network Edge, Data Analytics, SD-WAN/uCPE, Network Security | Optimizations - DPDK | Verticals/Industries - Telecommunications | VNFS and CNFs - Virtualized Radio Access Network (vRAN), Virtualized Evolved Packet Core (vEPC) | Workloads and Use cases - Security, SD-WAN and uCPE

Deep packet inspection (DPI) is a critical element of 4G/5G wireless networks as it is mandatory for application awareness and flow prioritization for proper service delivery and high quality of experience. Tests of R&S®PACE 2 DPI performance show a 33.8% increase on Intel® Xeon® Scalable processor-based servers when upgrading to a new CPU and demonstrate the performance impact between aligned vs misaligned non-uniform memory access (NUMA) in dual socket systems.

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

Intel® Network Builders
Solution Brief
Intel® Network Builders - Solution Brief
This brief provides telecom planners and architects with an analysis that guides the decision making for workload placement based on network deployment model.
Categories: 
Categories - Hardware Platforms, Software Platforms, Integrated Solutions, Services, Sytem Intergration Services, NFVI Hardware, NFVI OS/Virtualization, Test Tools and Reporting Software, Open Source Solutions | Intel Technologies and Platforms - 3rd gen Intel Xeon Scalable processor, Accelerators, 2nd gen Intel Xeon-D Scalable processor, 2nd gen Intel Xeon Scalable processor, Intel Optane Persistent Memory, Intel Optane SSDs, Intel FlexRAN | Network Location - Hybrid Cloud, Device Edge, On Premises, Core Network, Radio Access Network (RAN) | Network Technologies - 5G, 4G and 3G, Network Edge, Multi-Access Edge Computing (MEC), Containers/Kubernetes, Cloud Native/NFV, Next Generation Central Office (NGCO), SD-WAN/uCPE, Network Security, OSS/BSS | Optimizations - Intel QuickAssist Technology (QAT), Kubernetes | Orchestration and Network Management - BSS/OSS, EMS/NMS | Verticals/Industries - Telecommunications, Enterprise, Cloud Service Providers | VNFS and CNFs - Load Balancer (LB), Wide Area Network (WAN) Optimization, Broadband Remote Access Server (BRAS), Session Border Controller (SBC), IP Multimedia Subsystems (IMS), Application Delivery Controller (ADC), Virtualized Radio Access Network (vRAN), Virtualized Evolved Packet Core (vEPC), Content Delivery Networks (CDN) | Workloads and Use cases - Security, SD-WAN and uCPE

This brief provides telecom planners and architects with an analysis that guides the decision making for workload placement based on network deployment model.

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

Intel® Network Builders
White Paper
Intel® Network Builders - White Paper
In order to quantify the performance of virtualized SD-WAN solutions, Intel coordinated a test of the Versa Networks SD-WAN software running on a uCPE from Hewlett Packard Enterprise with Red Hat Enterprise Linux and Red Hat OpenStack Platform. In an optimized environment, the tests showed consistent, repeatable, and deterministic SD-WAN performance.
Categories: 
Categories - Integrated Solutions | Intel Technologies and Platforms - 2nd gen Intel Xeon-D Scalable processor | Network Location - On Premises | Optimizations - Enhanced Platform Awareness (EPA) | VNFS and CNFs - Wide Area Network (WAN) Optimization | Workloads and Use cases - SD-WAN and uCPE

In order to quantify the performance of virtualized SD-WAN solutions, Intel coordinated a test of the Versa Networks SD-WAN software running on a uCPE from Hewlett Packard Enterprise with Red Hat Enterprise Linux and Red Hat OpenStack Platform. In an optimized environment, the tests showed consistent, repeatable, and deterministic SD-WAN performance.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
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® 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 - Image / Object Detection / Recognition / Classification, Predictive maintenance and analytics, Data Analytics, Factory Automation

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.

Intel® Network Builders
Solution Brief
Intel® Network Builders - Solution Brief
Amdocs SmartRAN near-real-time optimization solution delivers better quality of service on virtual radio access networks (vRAN). The company is the first to demonstrate massive multi-antenna use case from the O-RAN Alliance.
Categories: 
Categories - Software Platforms, Services, NFVI OS/Virtualization | Intel Technologies and Platforms - 2nd gen Intel Xeon Scalable processor, Intel FlexRAN | Network Location - Radio Access Network (RAN), Data Center | Network Technologies - 5G, vRAN, Data Analytics | Optimizations - OpenVINO Toolkit | Verticals/Industries - Telecommunications

Amdocs SmartRAN near-real-time optimization solution delivers better quality of service on virtual radio access networks (vRAN). The company is the first to demonstrate massive multi-antenna use case from the O-RAN Alliance.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
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 - TensorFlow, Keras, Torch/PyTorch | 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® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), Intel® Distribution for Python | 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.

Intel® Network Builders
White Paper
Intel® Network Builders - White Paper
P4 is a programming language for networks and enables protocol flexibility, integrated network functions, and in-band network telemetry for data center, enterprise, and service provider networks.
Categories: 
Categories - Software Platforms, Integrated Solutions, Open Source Solutions | Intel Technologies and Platforms - Intel Tofino and Tofino 2, 1st gen Intel Xeon Scalable processor | Network Technologies - 5G, Network Edge, SDN, Network Security | Verticals/Industries - Telecommunications, Enterprise, Cloud Service Providers | Workloads and Use cases - Security

P4 is a programming language for networks and enables protocol flexibility, integrated network functions, and in-band network telemetry for data center, enterprise, and service provider networks.

Intel® Network Builders
White Paper
Intel® Network Builders - White Paper
As enterprises improve operations, customer experience and competitiveness, AT&T delivers low-latency solutions combining 4G/5G wireless network connectivity and HPE Edgeline Converged Edge Systems powered by Intel® processors
Categories: 
Intel Technologies and Platforms - 2nd gen Intel Xeon-D Scalable processor, 2nd gen Intel Xeon Scalable processor | Network Technologies - 5G, 4G and 3G, Multi-Access Edge Computing (MEC) | Verticals/Industries - Industrial, Medical and Healthcare, Retail

As enterprises improve operations, customer experience and competitiveness, AT&T delivers low-latency solutions combining 4G/5G wireless network connectivity and HPE Edgeline Converged Edge Systems powered by Intel® processors

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
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 - TensorFlow, Custom/Other, Keras | 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 (Intel® MKL), Intel® Data Analytics Acceleration Library (Intel® DAAL), 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 | Solution Geographic Availability - Worldwide | Toolkits - Other | Topology - BERT, NMT, Faster RCNN, Other, LSTM, Proprietary, RNN | Use Case - Other (pls specify), Robotic Process Automation, Video Surveillance and Analytics, Anomaly Detection, Data Preparations and Management, Data Analytics, Content generation, Conversational Bots and Voice Agents, Drug Discovery, Medical imaging, analysis and diagnostics

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

Intel® Network Builders
User Guide
Intel® Network Builders - User Guide
Understanding the utilization of a platform and application is key to understanding current load and potential overload conditions, giving the network operator an opportunity to monitor and react to meet Service Level Agreements (SLAs).
Categories: 
Categories - Hardware Platforms, Software Platforms, Integrated Solutions, Services, Sytem Intergration Services, NFVI Hardware, NFVI OS/Virtualization, Test Tools and Reporting Software, Open Source Solutions | Intel Technologies and Platforms - 2nd gen Intel Xeon Scalable processor | Network Location - Radio Access Network (RAN), Device Edge, On Premises, Core Network | Network Technologies - vRAN, Network Edge, Multi-Access Edge Computing (MEC), Containers/Kubernetes, Next Generation Central Office (NGCO), AI and Automation | Optimizations - DPDK | Verticals/Industries - Telecommunications, Enterprise

Understanding the utilization of a platform and application is key to understanding current load and potential overload conditions, giving the network operator an opportunity to monitor and react to meet Service Level Agreements (SLAs).

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
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 - Brazil, China (PRC), India, United States | 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.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
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 - BERT, Faster RCNN, Other, Yolo, ResNet50, LSTM, RNN | Use Case - Image / Object Detection / Recognition / Classification, Data Preparations and Management, Anomaly Detection, Data Analytics, Factory Automation, Content generation, Conversational Bots and Voice Agents, Predictive maintenance and analytics, Robotic Process 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

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

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
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) | Solution Geographic Availability - Brazil, China (PRC), France, Germany, India, Japan, Mexico, Russia, Korea, Taiwan, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Topology - LSTM, Proprietary | Use Case - Data Preparations and Management, Data Analytics, Predictive maintenance and analytics

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.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
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 - Proprietary, Other

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.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
This Product Brief highlights how Verbio’s Speech recognition engine does a real-time transcription (Speech-to-Text) of calls, provides recommendations and actionable insights via NLP engine
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Cross-Industry, Retail, Communications | Model Training - Models cant be re-trained - Inference only | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Topology - Proprietary, Other | Use Case - Conversational Bots and Voice Agents

This Product Brief highlights how Verbio’s Speech recognition engine does a real-time transcription (Speech-to-Text) of calls, provides recommendations and actionable insights via NLP engine

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
This Product Brief highlights how the ZeroFOX Platform ingests billions of data elements from hundreds of external digital sources ranging from social media platforms to the deep/dark web. Employing the industry’s most advanced AI-powered engine, the SaaS-based platform analyzes text, images and video, at internet scale, to identify and remediate threats. The solution running on Intel® AI technology facilitates faster time to insights, reduced likelihood of timeouts for the model service resulting in more images being analyzed and helps service additional 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 | Software Libraries - Compute Library for Deep Neural Networks (clDNN) | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Yolo | Use Case - Image / Object Detection / Recognition / Classification

This Product Brief highlights how the ZeroFOX Platform ingests billions of data elements from hundreds of external digital sources ranging from social media platforms to the deep/dark web. Employing the industry’s most advanced AI-powered engine, the SaaS-based platform analyzes text, images and video, at internet scale, to identify and remediate threats. The solution running on Intel® AI technology facilitates faster time to insights, reduced likelihood of timeouts for the model service resulting in more images being analyzed and helps service additional customers.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
This Product Brief highlights how Ziva leverages standard models to create data sets of movement and mass that studios can adapt without starting from scratch. By mirroring the elements of locomotion, Ziva’s ML technology enables studios, brands, and people to replicate the real world in films, games, and VR. For example, skin, muscle, fat can all be modified from base models to change a four-legged base cat model into an elephant.
Categories: 
Application Type - Other | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Arts and Entertainment, Retail | Model Training - Models can be trained - data input only required | Operating System - Windows, Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Toolkits - Other | Topology - Proprietary | Use Case - Other (pls specify)

This Product Brief highlights how Ziva leverages standard models to create data sets of movement and mass that studios can adapt without starting from scratch. By mirroring the elements of locomotion, Ziva’s ML technology enables studios, brands, and people to replicate the real world in films, games, and VR. For example, skin, muscle, fat can all be modified from base models to change a four-legged base cat model into an elephant.