Code Sample: Rendering Objects in Parallel Using Vulkan* API
File(s):DownloadLicense:Intel Sample Source Code License AgreementOptimized for... OS:64-bit Windows* 7, 8.1 or Windows® 10Hardware:GPU requiredSoftware:(Programming Language, tool, IDE,...
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Rendering Objects in Parallel Using Vulkan* APIs
If you're a game developer and not yet up to speed on Vulkan*, you should be. Vulkan APIs are one of the industry's hottest new technologies. They support multithreaded programming, simplify...
View ArticleEnergy Analysis with Intel(R) System Studio 2019 Beta
Energy Analysis with Intel® System Studio 2019 Beta Introduction to Energy AnalysisEnergy Analysis : Using the energy analysis components allows you to collect sleep state, frequency and temperature...
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Intel® Parallel Computing Center at University of Florida
Principal InvestigatorsDavid Ojika is a fourth-year doctoral student of computer engineering, working with Dr. Darin Acosta. Having received his Master’s degree from California State University, David...
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Deep Learning: Build a Black Box Model for Medical Professionals
Building a Black Box Model Using Transfer LearningIntroductionIn the 21st century, the years of big data and big innovations in medicine, we frequently hear about artificial intelligence (AI) solutions...
View ArticleBoulder Springs 0.6.0 Alpha Release Notes - INTERNAL ONLY
Version History/Revision HistoryThese are the main releases of Boulder Springs:DateRevisionDescription06 July 20180.6.0Internal release06 June 20180.5.0Initial releaseIntended AudienceThis release is...
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Entrib* and Intel Bring Manufacturers the Industrial Internet of Things...
Access holistic real-time insight across shop floors and factories"To facilitate our clients and boost efficiency and ROI by improving productivity on the shop floor."— Entrib* mission...
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Reduce IT Costs and Increase Security of Building Automation at Scale with...
Building automation systems help facility managers to meet sustainability goals, lower energy use, and save costs. Traditionally, connecting building automation systems to the cloud has been expensive,...
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ARDIC IoT-Ignite* Platform Turns Fast Food into Smart Operations with Intel®...
Bringing data-driven management to complex, fast-paced environmentsExecutive SummaryRestaurants, like many industries, are data-rich environments that often do not have the tools or technologies to...
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Making IoT Connectivity Secure and Simple for Retailers
Intel IoT and Asavie* enable rapid business growth with a streamlined IoT platform and multilayer security."By addressing the secure network connectivity and integration challenges from edge devices to...
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AllGoVision* and Intel Bring Advanced Video Analytics to the IoT Edge
Flexible, feature-rich solution turns smart video into actionable insightExecutive SummaryVideo data is a key part of surveillance as well as many other types of IoT implementations. But video data can...
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Xtel* and Intel Enable Manufacturers to Improve Operational Insight and...
Robust wireless sensors collect critical data for industrial environmentsExecutive SummaryManufacturers often struggle to garner usable data from complex and incompatible equipment and systems. Xtel*...
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Real-Time Systems and Intel Take Industrial Embedded Systems to the Next Level
Innovative hypervisor and partitioning software increases flexibility and functionality for industryExecutive SummaryThe Industrial IoT (IIoT) has the potential to bring increased optimization,...
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Making NoSQL Databases Persistent-Memory-Aware: The Apache Cassandra* Example
IntroductionPersistent memory is byte-addressable. This property—which allows us to directly persist our data structures without serialization—is key to simplifying code complexity dealing with data...
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Using Natural Language Processing for Smart Question Generation
IntroductionAutomatic question generation is part of Natural Language Processing (NLP). It is an area of research where many researchers have presented their work and is still an area under research to...
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Using TensorFlow* for Deep Learning Training and Testing
IntroductionIn this tutorial, you learn to train and test a single-node Intel® Xeon® Scalable processor platform system using TensorFlow* framework with CIFAR-10 image recognition datasets. Use these...
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Game Dev with Unity* ML-Agents and Intel® Optimized Python* (Part Two)
AbstractIn the final part of this two-part series on machine learning with Unity* ML-Agents, we will dig deeper into the architecture and create an ML-Agent from scratch. Before training, we will...
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Privacy-Preserving Face Features Detection
IntroductionAdvances in computer vision (CV) aim at automating the process of detecting features in human faces for a myriad of applications. CV enables facial recognition for biometric security of...
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Install and Configure Yardstick Network Services Benchmarking to Measure NFVI...
IntroductionYardstick Network Services Benchmarking (NSB) is a test framework for measuring the performance of a virtual network function (VNF) in a network function virtualization (NFV) environment....
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Developer Success Stories Library
Intel® Parallel Studio XE | Intel® System Studio | Intel® Media Server StudioIntel® Advisor | OpenVINO™ Toolkit | Intel® Data Analytics Acceleration Library Intel® Distribution for Python* | Intel®...
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