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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Democratizing AI by Delivering Hardware Performance and Developer Productivity At Scale

In his keynote presentation from the oneAPI DevSummit for AI 2022, Wei Li, VP/GM AI & Analytics at I...
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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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Python* Data Science at Scale

Learn about how Intel has been working to improve performance of popular Python* libraries
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Intel Collaboration With Deci Boosts AI Performance on Intel Hardware

A collaboration between Intel Labs and Deci, a start-up company focused on deep learning development...
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Accelerating AI Everywhere with Intel Software Solutions

Tech expert Dr. Sally Eaves discusses Accelerating AI Everywhere with Dr. Wei Li, Vice President and...
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Optimize Inference with Intel CPU Technology

Enjoy improved inferencing lower overall total cost of ownership (TCO) across an integrated AI platf...
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Deploy AI Inference with OpenVINO™ and Kubernetes

In this blog, you will learn how to use key features of the OpenVINO™ Operator for Kubernetes
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Artificial Intelligence-Driven Discovery of Novel Material Systems

Intel Labs creates new research effort to investigate and develop advanced AI algorithms and technol...
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Thrill-K: A Blueprint for The Next Generation of Machine Intelligence

Thrill-K will be introduced as the AI systems architecture blueprint that implements 3LK principles ...
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AttentionLite: Towards Efficient Self-Attention Models for Vision

Intel Labs has created a novel framework for producing a class of parameter- and compute-efficient m...
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NEMO: A Novel Multi-Objective Optimization Method for AI Challenges

Neuroevolution-Enhanced Multi-Objective Optimization (NEMO) for Mixed-Precision Quantization deliver...
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Seat of Knowledge: AI Systems with Deeply Structured Knowledge

This blog will outline the third class in this classification and its promising role in supporting m...
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On the Geometry of Generalization and Memorization in Deep Neural Networks

Our latest work, presented recently at the 2021 International Conference on Learning Representations...
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Learning to Optimize Memory Allocation on Hardware using Reinforcement Learning

We describe a scalable framework that combines Deep RL with genetic algorithms to search in extremel...
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Bring your own dataset and retrain a TensorFlow model with OpenVINO™ toolkit

Machine learning requires us to have existing data — not the data our application will use when we r...
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Enabling AI Everywhere by Accelerating the Open AI Software Ecosystem

Wei Li, Intel's VP/GM AI & Analytics, discusses enabling an open AI ecosystem through Intel’s partne...
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Enhance Artificial Intelligence (AI) Workloads with Built-in Accelerators

Intel DL Boost brings accelerated performance without the need for a discrete add-on accelerator.
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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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