Artificial Intelligence (AI)

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Artificial Intelligence (AI)

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

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Hybrid AI Inferencing managed with Microsoft Azure Arc-Enabled Kubernetes

Azure Arc-Enabled Kubernetes enables centralized management of heterogenous and geographically separ...
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Intel Labs Accelerates Single-cell RNA-Seq Analysis

On a single instance of n2-highcpu-64 on GCP, the whole pipeline finishes in just 459 seconds (7.65 ...
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Understanding of and by Deep Knowledge

How knowledge constructs can transform AI from surface correlation to comprehension of the world
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Learning Challenges Multitasking in the Human Brain and Artificial Neural Networks

The ability to learn tasks in a way that multiple ones can be performed simultaneously challenges bo...
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Women's History Month: Meet the Women Innovating New Technologies at Intel Labs

Women researchers at Intel Labs are working on new technology every day. In honor of Women's History...
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Advancing Machine Intelligence: Why Context Is Everything

This blog will discuss the significance of context in ML, and how late binding context could raise t...
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Using Natural Language in Imitation Learning to Instruct Robots

Our team of researchers from Arizona State University, Intel AI Labs, and Oregon State University us...
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Advancing Confidential Computing with Intel’s Project Amber

In just a few short years, confidential computing has gained wide attention and momentum as a powerf...
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Seat of Knowledge: Information-Centric Classification in AI - Class 2

The information-centric classification proposed here includes three key classes of AI systems: Full...
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Seat of Knowledge: Information-Centric Classification in AI

In this series of blogs, I offer a different perspective: an information-centric classification with...
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One-Layer Implicit Deep Model Uses Less Memory for Pattern Recognition

Researchers at Carnegie Mellon University and Intel Labs introduced a multiscale deep equilibrium mo...
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Intel Works with AI Ecosystem to Accelerate ML Training Using Intelligent Ethernet Switches

Learn how Intel’s recent work with SwitchML technology lets intelligent Ethernet switches streamline...
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Deep Knowledge as the Key to Higher Machine Intelligence

While not expected to reach the goals of open-ended artificial general intelligence (AGI), AI with h...
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Python Data Science and Machine Learning at Scale

Intel is working to improve workloads for artificial intelligence (AI) developers and data scientist...
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Efficiency, Extensibility and Cognition: Charting the Frontiers

The rapid growth of deep learning (DL) is incredible. Progressing and enabling innovation at a breat...
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Next, Machines Get Wiser

Deep learning (DL) will continue to make significant progress in technical capabilities and scope of...
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Cognitive Computing Research: From Deep Learning to Higher Machine Intelligence

Deep learning (DL), a transformative branch of machine learning and more broadly artificial intellig...
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Bringing Enterprises into the AI Space

Complex workloads demand complex methodologies. When the measure of a business’s success is how effi...
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The Rise of Ethical Facial Recognition

How ethical facial recognition can identify security threats in real time with Oosto (formally AnyVi...
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AI Data Processing: Near-Memory Compute for Energy-Efficient Systems

Near Memory Compute is becoming important for future AI processing systems that need improvement in ...
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How to use Model Downloader for Encoder Decoder Models using OpenVINO™ toolkit

Model Converter converts a public model into Inference Engine IR format using Model Optimizer
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Tech for Good and AI within Intel's Health and Life Science's division.

How Intel’s AI tech innovation can be applied to solve healthcare challenges.
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Easily Optimize Deep Learning with 8-Bit Quantization

Discover how to use the Neural Network Compression Framework of the OpenVINOTM toolkit for 8-bit qua...
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Accelerating AI/ML and Data-centric Applications with Temporal Caching

Intel® Optane™ persistent memory can help unify data access methods for temporal caching to improve ...
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AI in Semiconductor Manufacturing: Solving the n-i, n Problem

Artificial intelligence (AI) is a powerful tool to transform vast amounts of manufacturing data into...
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Quantizing ONNX Models using Intel® Neural Compressor

In this tutorial, we will show step-by-step how to quantize ONNX models with Intel® Neural Compresso...
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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

Authors: Devang Aggarwal, N Maajid Khan Docker containers can help you deploy deep learning models...
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Accelerating Genome Workloads Using the OpenVINO™ Integration with TensorFlow

Accelerate performance of Genome Analysis Toolkit (GATK), using OpenVINO™ integration with TensorFlo...
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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 Series Learn how to convert...
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