"machine learning" Posts in "Artificial Intelligence (AI)"

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Building an Interactive Educational Platform Using Intel AI Tools and Frameworks

Proposed an interactive learning environment - Learners’ Ed using Intel AI Tools and Frameworks.
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Fast Real-time Inference for Convolutional Neural Network Models Built With TensorFlow* 2.16

With TensorFlow 2.16.1, AI developers can experience improved performance for real-time inference
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Prediction of Fresh Water Quality with XGBoost and Modin: Developer Spotlight

Solution for predicting the quality of fresh water using XGBoost and Modin
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Unleash Your Creativity: Exploring Gen AI and Jupyter Notebooks on Intel® Developer Cloud

Learn how to access Gen AI workshops and free Jupyter notebooks on the Intel Developer Cloud
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Next Gen AI Developers Take Advantage of Intel’s Resources at Stanford’s TreeHacks 2024 Hackathon

Highlights of Stanford’s TreeHacks 2024 Hackathon.
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Develop High Performance AI Workloads with Intel at TreeHacks Hackathon

Build optimized AI solutions on Intel® Developer Cloud at Stanford’s TreeHacks hackathon.
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Leverage Intel’s Latest Hardware and AI Software Optimizations at Hacklytics 2024 Hackathon

Develop optimized AI solutions on Intel® Developer Cloud at Hacklytics 2024 hackathon.
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oneAPI DevSummit for AI & HPC 2023: From ML to Generative AI Apps with Intel AI Tools and Frameworks

Summary of two AI sessions that were delivered at oneAPI DevSummit for AI and HPC 2023
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Top AI Projects Developed on Intel® Developer Cloud at Cal Hacks 10.0 Hackathon

Intel® Developer Cloud and Intel® Liftoff Program contributed to Cal Hacks 10.0 AI hackathon.
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oneAPI DevSummit 2023: Meet the Founders Overcoming AI Production Barriers with Intel

In a recent panel discussion on AI deployment, Intel Liftoff members and startup leaders addressed c...
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Bringing AI Everywhere: Intel AI Summit Series

AI Summits educates how Intel’s software and hardware portfolios can help power your AI solutions.
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AI Innovation Bridge Hackathon at Intel Innovation 2023

Learn about the “build your own adventure” style hackathon at Intel Innovation 2023
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Build Optimized AI Solutions with Intel at Cal Hacks 10.0 Hackathon

Learn about Intel® Developer Cloud, Intel® Liftoff program for AI startups and Intel’s AI software p...
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oneAPI DevSummit for AI 2023 Highlights: How to Accelerate AI Applications using PyTorch*

Spotlight on PyTorch-focused sessions delivered at oneAPI DevSummit for AI 2023
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Document Automation Reference Use Case: End-to-End AI Augmented Semantic Search System

AI-augmented multi-modal semantic search system for scanned documents and images
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Intel® AI Analytics Toolkit 2023.2 Now Available

Learn what new optimizations and features have been added to your AI software tools and frameworks.
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Azure ML Based Federated Learning with Intel® Xeon® Platforms

Federated Learning using Azure ML and on-premises 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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End-to-End Azure Machine Learning on-premises with Intel Xeon Platforms

Azure Machine Learning on-premises with Intel Xeon Platforms and Kubernetes
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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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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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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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Innovation 2022: AI Productivity and Performance at Scale

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