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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OpenVINO™ Integration With TensorFlow Now Comes With Docker Support

An illustrated guide on using Docker with Intel’s OpenVINO™ integration with Tensorflow*
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YOLOv5 Model INT8 Quantization based on OpenVINO™ 2022.1 POT API

How to use OpenVINOTM 2022.1 Post-training Optimization Tool (POT) API for YOLOv5 Model INT8
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Intel Labs’ Validate on Sim, Detect on Real (VSDR) Narrows Sim2Real Gap in Robot Learning

Intel Labs, in collaboration with the Technion - Israel Institute of Technology, developed a “Valida...
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Solving Hard Optimization Problems with Energy Efficient Neuromorphic Technology

At Intel, we are exploring stochastic spiking neural networks (SSNN) on our second-generation Loihi ...
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Intel and Intel Labs Develop New AI Methods to Restore Trust in Media

Intel Labs’ trusted media research team investigates new approaches to help determine the authentici...
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The Power of Intel® Hardware for Billion-Scale Similarity Search

In this blog, we describe a solution that reaches new heights along all of these dimensions by lever...
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Optimizing Graph Neural Network Training Performance on Intel® Xeon®

In this article, we focus on the performance of GNN training for node classification on modern, gene...
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Celebrating Hispanic Heritage: Javier Turek’s Story from Intel Labs

During Hispanic Heritage Month, we proudly celebrate the culture and contributions of the Latinx com...
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Kid Space: Re-imagining the Potential of Technology-Mediated Learning

Kid Space incorporates audio and vision hardware components and AI technologies to create an adaptiv...
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Intent Prediction Improves Human-robot Collaboration Task Fluency

Intel Labs will present the paper “Intuitive & Efficient Human-Robot Collaboration via Real-time App...
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Distributed Large-Scale Graph Training on Intel CPUs Presented at MLSys 2022

We present our open sourced Sequential Aggregation and Rematerialization (SAR) scheme, which achieve...
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Beyond Input-Output Reasoning: Four Key Properties of Cognitive AI

Published August 16, 2022 Image credit: James Thew via Adobe Stock. Gadi Singer is Vice President an...
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A Guide to AI Partner and Accelerator Programs for Startups

What to look for in AI Partner and Accelerator Programs for Startups and Collaborating with Intel on...
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Enabling AI Developers on Their Journey to Scale with Intel AI

Overview and link to Ramtin Davanlou, from Accenture* presentation at the oneAPI DevSummit for AI.
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Multimodality: A New Frontier in Cognitive AI

In this blog, we will introduce the concept of multimodal learning along with some of its main use c...
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Intel Labs Enables AI Innovation with Hardware-Aware Automated Machine-Learning Tools

Intel Labs' hardware-aware AI-based automation tools (AutoX) enable rapid adoption of AI models for ...
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Sentence Transformer Fine-Tuning (SetFit)

In this work, we demonstrate Sentence Transformer Fine-tuning (SetFit), a simple and efficient alter...
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Intel® Labs’ Graph Neural Networks Research Featured as Groundbreaking Work in AI

Research finds that reversible Graph Neural Networks (RevGNNs) significantly outperform existing met...
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No One Rung to Rule Them All: Addressing Scale and Expediency in Knowledge-Based AI

Published October 26, 2021 Image adapted from Elentaris Photo / Shutterstock.com Gadi Singer is Vic...
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Best Practice for Text-Classification with Distillation Part (4/4)

In this post, I present Tango architecture, a simple cascade student-teacher model, and exploit the ...
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Conceptualization as a Basis for Cognition — Human and Machine

To pursue this path to better AI, it is essential to understand what “understanding” really means fo...
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Accelerate Deep Learning with Intel® Optimization for TensorFlow*

Intel and Google* have been collaborating to deliver optimized implementations of some of the most c...
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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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