Artificial Intelligence (AI)

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For the latest information on Intel’s response to the Log4j/Log4Shell vulnerability, please see Intel-SA-00646
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Artificial Intelligence (AI)

Artificial Intelligence (AI)
Engage with our experts on topics in AI

Posts

Introducing OpenVINO™ integration with TensorFlow*

OpenVINO™ integrated with TensorFlow*: Developers can accelerate inferencing by adding 2 lines of co...
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Simplified Deployments with OpenVINO™ Model Server and TensorFlow Serving

Learn how to perform inference on JPEG images using the gRPC API in OpenVINO Model Server.
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Breaking the Latency Barrier for Real-Time Neural Machine Translation

Neural machine translation (NMT) has transformed the work of translating text between languages
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Optimizing Dental Insurance and Value-Based Payments with Intel® OpenVINO.

The oral healthcare industry can leverage AI to drive precision dentistry to better solve problems.
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How to Accelerate Deep Reinforcement Learning Training

Speeding up inference with Intel® OpenVINOTM toolkit, can save time in training a robotics simulatio...
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Listening to the World: A Breakthrough in AI

An Intel Engineer Helps to Catalog World Languages
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KT Optimizes Performance for Personalized Text-to-Speech

Using PyTorch, Intel® AI technologies, and Intel® Xeon® Scalable processors, KT increases performanc...
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Faster, Easier Optimization with Intel® Neural Compressor

At a Glance New Intel Neural Compressor makes it simpler to optimize trained deep learning (DL) mod...
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Load Balancing OpenVINO™ Model Server Deployments with Red Hat OpenShift

Learn how to deploy AI inference-as-a-service and scale to hundreds or thousands of nodes using Open...
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Taking Big Data Analytics to the Next Level with Native Vectorized Databases

Content provided by Kinetica Modern x86 processors include vector units that can operate on mul...
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OpenVINO Execution Provider for ONNX Runtime – Same Docker Container, Different Channel

Docker containers can help you deploy deep learning models easily on different devices. With the Ope...
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Accelerating Genome Workloads Using the OpenVINO™ Integration with TensorFlow

Authors: Mustafa Cavus, Ravi Panchumarthy, Anthony Reina, Yamini Nimmagadda, Prashant Shah, Sesh Ses...
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The No-Code Approach to Deploying Deep Learning Models on Intel® Hardware

A three-part series on OpenVINO™ Deep Learning Workbench About the SeriesLearn how to convert, fine-...
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The No-Code Approach to Deploying Deep Learning Models on Intel® Hardware

A three-part series on OpenVINO™ Deep Learning Workbench About the SeriesLearn how to convert, fine-...
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How to Deploy Deep Learning Object Detection on Intel® Hardware

A course preview from the Intel® Edge AI Developer Certification Program Learn deep learning deploym...
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Exploring model performance on remote targets with OpenVINO™ Deep Learning Workbench

GitHub:https://github.com/openvinotoolkit/openvino Designing AI applications is a process that in...
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Model Optimization Pipeline for Inference Speedup with OpenVINO™ Toolkit

Key TakeawaysLearn how to get maximum performance with OpenVINO™ toolkit on various types of HW appl...
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Automated Mixed-Precision Quantization for Next-Generation Inference Hardware

Key TakeawaysLearn about quantization to low bit-widths for model compression and performance speed-...
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Medical Data (DICOM) Annotation in Computer Vision Tool

Introduction The second decade of the 21st century has shown us that using of artificial neural ne...
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Executive Summary: The Total Economic Impact™ of Intel AI

A Forrester Total Economic Impact™ Survey Commissioned by Intel Additional Information See the...
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Deploy an Optical Character Recognition Pipeline with OpenVINO™ Model Server

Introduction As more applications begin to leverage deep learning for tasks like Natural Language ...
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Building Intel’s AI Center of Excellence

USD 1 billion in business value. That is what Intel IT’s artificial intelligence (AI) group—quickly ...
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Performance Optimizations for End-to-End AI Pipelines

Optimized Frameworks and Libraries for Intel Processors Modern artificial intelligence (AI) an...
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Leverage Intel Optimizations in Scikit-learn

Better SVM Performance for Model Training and Inference Last updated: 2021-05-20 Support vecto...
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Optimizing CatBoost Performance

Tricks to Improve Machine Learning Training Performance by Up to 4x Last updated: 2021-04-19 G...
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Data Science at Scale with Modin

Intel Distribution of Modin in the Intel® oneAPI AI Analytics Toolkit Enables Scalable Data Analyti...
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Accelerate Kaggle Challenges Using Intel® Extension for Scikit-learn*

There's a Faster Way to Run Scikit-learn Last updated: 2020-11-10 A few months ago, some of my ...
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Worried about your Deep Learning model being stolen or tampered with? Worry no more...

Summary You have been working on developing and perfecting an efficient and accurate deep learning ...
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Deploying Stateful Models with OpenVINO™ Model Server

Introduction Some deep learning models require additional contextual information to make valid pred...
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Faster Inferencing on Intel® Hardware with Just One Extra Line of Code

Introduction to OpenVINO Execution Provider for ONNX Runtime Did you know that with just one extra ...
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Kisaco Research designates SigOpt as a Leader in AI Software Optimization

With more and more businesses building robust and repeatable machine learning pipelines, enhancing b...
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Unlock Billions with Supply Chain Analytics

Applying advanced analytics to various aspects of the supply chain can provide significant business ...
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Network Optimization and AI Inferencing Management for Telepathology

Pathology services, or tests such as biopsies and bloodwork used to diagnose and treat illnesses, ar...
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