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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Is Positional Encoding Required In All Language Models?

Peter Izsak is a Staff Research Scientist at Intel Labs, where he explores topics at the intersectio...
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Getting started with classical Machine Learning Frameworks using Google Colaboratory

Installing major machine learning frameworks optimized by Intel on Google Colaboratory (Colab)
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Training Causal Language Models on SDSC’s Gaudi-based Voyager Supercomputing Cluster

The SDSC Voyager supercomputer is an innovative AI system designed specifically for science and engi...
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Intel Labs at The Winter Conference on Applications of Computer Vision

Intel presents five computer vision papers that detail novel works that include a Dynamic Scene Grap...
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Top 10 Intel Labs Posts of 2022

Intel Labs presented many exciting research innovations in 2022. Read for a brief description of Int...
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AI4Mat NeurIPS 2022 Workshop Recap

At NeurIPS 2022, Intel Labs researchers and academic and corporate co-organizers hosted a workshop c...
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Microsoft Azure Cognitive Service Containers on-premises with Intel Xeon Platform

Microsoft Azure Cognitive Services based AI Inferencing on-premises with Intel Xeon Platforms
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Art Generation with PyTorch Stable Diffusion and Habana Gaudi

In this post, we will learn how to run PyTorch stable diffusion inference on Habana Gaudi processor,...
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Responsible AI: The Future of AI Security and Privacy

Intel Innovation 2022: Jason Martin, Principal Engineer leading Intel Labs Secure Intelligence Team
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Intel Labs Introduces SPEAR: An Open-Source Photorealistic Simulator for Embodied AI

Intel Labs collaborated with the Computer Vision Center in Spain, Kujiale in China, and the Technica...
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Intel Labs Presents Natural Language Processing Research at EMNLP 2022

Intel Labs presents latest research in Natural Language Processing at EMNLP.
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Writing training scripts that can run either on Gaudi, GPU, or CPU

In this tutorial we will learn how to write code that automatically detects what type of AI accelera...
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Intel Labs Introduces the Open MatSci ML Toolkit

Intel Labs has set several works in motion to further the development and application of advanced ar...
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Intel Co-Sponsors New Phase of MIT DSAIL Program for Instance-Optimized Data Systems Research

A new phase of our Data Systems and Artificial Intelligence Lab (DSAIL) university research  progra...
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CUMULATIVE_THROUGHPUT Enables Full-Speed AI Inferencing with Multiple Devices

OpenVINO™ has enabled automatic selection of the most suitable target device for AI inferencing
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Habana this week at re:Invent ‘22

The Habana® team is excited to be at re:Invent 2022, November 28 – December 1. We’re proud that Ama...
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Memory in Artificial and Real Intelligence (MemARI) Workshop at NeurIPS 2022

Vy Vo is a research scientist working on deep neural networks in the Brain-Inspired Computing Lab as...
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Innovation 2022: AI Productivity and Performance at Scale

Highlights from Innovation 2022, panel discussion: “Productivity and Performance at Scale.”
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AI4Mat NeurIPS 2022 Workshop

The AI for Accelerated Materials Design (AI4Mat) workshop is scheduled for December 2nd, 2022, durin...
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Solving Consumer-Facing Challenges Through Open-Source Technology

To the Edge and Beyond’s Gabrielle Bejarano spoke with Intel Product Engineer Sean Williams on how I...
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Transforming Intel with AI

Intel’s Artificial Intelligence (AI) Solutions Group has generated USD 1.3B in business value so far...
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Habana Gaudi2 makes another performance leap on MLPerf benchmark

Today MLCommons® published industry results for their AI training v2.1 benchmark that contained an i...
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Memory-Efficient Training on Habana® Gaudi® with DeepSpeed

One of the key challenges in Large Language Model (LLM) training is reducing the memory requirements...
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Innovation 2022: End-to-End AI Pipeline Development and Deployment

Innovation 2022 AI Track: “Achieving efficient, productive and good quality End-to-End AI Pipelines”
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AI Hardware and Software Accelerators

Wei Li talks AI Everywhere with Ronald van Loon at World Summit AI
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When Danger Calls Can AI Come to The Rescue?

Every year people become lost or injured far from the trappings of civilization, and search and resc...
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Fine tuning GPT2 with Hugging Face and Habana Gaudi

In this tutorial, we will demonstrate fine tuning a GPT2 model on Habana Gaudi AI processors using H...
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Intel AI Optimizations Boosting Energy Conservation Efforts

Evaluating AI deployments and machine learning based on overall energy usage instead of just process...
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Multi-Agent Simulation: A Key Function in Inference-Time Intelligence

Published October 25th, 2022 Image credit: Local_doctor via Adobe Stock. Gadi Singer is Vice Preside...
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Spatio-Temporal Graphs for Long-Term Video Understanding

Intel Labs proposes a novel video representation method based on sparse spatio-temporal graphs which...
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Innovation 2022: AI for Social Good Hackathon

Learn about the Intel Innovation 2022 hackathon event with the theme of “AI for Social Good.”
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Innovation 2022 Participant Experience: My First Ever Hackathon

My participant experience from Intel Innovation 2022 hackathon event themed: “AI for Social Good.”
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AI Everywhere: Innovation 2022 Wrap-Up

Intel Innovation 2022 featured AI topics in keynotes, session tracks, demos, workshops, & hackathons
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Empowering Red Hat* OpenShift* Data Science Platform with Intel AI

Use the Intel® AI Analytics Toolkit on the (RHODS) platform to speed up many parts of AI workflow
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Exploration on Confidential Computing for Big Data & AI using BigDL

Occlum* gives users the freedom to run programs in SGX without hassles presented by standard SGX SDK...
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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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