"oneapi" Posts in "Artificial Intelligence (AI)"

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386 Discussions
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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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NeuralChat: A Customizable Chatbot Framework

Overview of NeuralChat that provides an easy-of-use API to quickly build a chatbot.
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Enhanced Fraud Detection Using Graph Neural Networks with Intel Optimizations

Fraud detection challenges: how Intel’s tools & optimizations can help implement enhanced solutions
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Efficient Inference and Training of Large Neural Network Models

oneAPI DevSummit for AI 2023: Efficient Inference and Training of Large Neural Network Models
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Food Sales Prediction Model using scikit-learn* (sklearn): Developer Spotlight

Developer Spotlight: Sayan Malakar proposed an AI solution for food sales prediction
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Single Cell RNA Analysis using Intel® AI Analytics Toolkit: Developer Spotlight

Krittika Kanjilal proposed solution for single-cell RNA analysis using Intel® AI Analytics Toolkit
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Enable Mixed Precision in TensorFlow* 2.13 via Environment Variable

TensorFlow* developers can benefit from Intel® Advanced Matrix Extension (AMX) with TensorFlow 2.12
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Building an Object Detection Model for Autonomous Vehicles using PyTorch: Developer Spotlight

Developer Spotlight: Akash Agrawal proposed an Object Detection Model for Autonomous Vehicles
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Building an Online Learning Platform using Intel® AI Analytics Toolkit: Developer Spotlight

Developer Spotlight: Rohit Sroch, in his blog proposed a Learning Enhancement and Assistance Platfor...
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oneTBB: A Modern C++ Library for Task-based Parallelism on CPUs

Intel® oneAPI Threading Building Blocks: open-source library on GitHub supports parallelism on CPUs.
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Revolutionizing Recycling: Smart Garbage Classification using oneDNN

Using oneDNN for Improved Efficiency and Sustainability
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Heart Disease Risk Prediction using scikit-learn* (sklearn) and XGBoost: Developer Spotlight

Developer Spotlight: Arnab Das in his blog proposed a solution to Heart Disease Risk Prediction
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Chronic Kidney Disease Risk Prediction using Modin and scikit-learn* (sklearn): Developer Spotlight

Developer Spotlight: Arnab Das proposed a solution to Chronic Kidney Disease Risk Prediction
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Skin Cancer Detection using TensorFlow*: Developer Spotlight

Spotlight on Jayita Bhattacharyya blog proposing a solution to Skin Cancer Detection
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Anaconda Demo: Greener Machine Learning with Intel

Learn about “Green AI,” a focus on reducing the environmental impact of AI systems
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Liver Disease Detection using Modin and scikit-learn* (sklearn): Developer Spotlight

Spotlight on Arnab Das blog proposing a solution to Liver Disease Detection
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Compressing the Transformer: Optimization of DistilBERT with the Intel® Neural Compressor

A neural network, the aptly named, biologically-inspired programming paradigm, enables the processin...
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Fine-Tuning LLMs with LoRA on Intel GPUs – for Predictions, E-commerce, and Personal Assistants

How startups from the Intel® Liftoff program leveraged Intel® Data Center GPU Max Series and 4th Gen...
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Building a Healthcare Application using Intel AI Tools and Frameworks: Developer Spotlight

Hitaya_OneAPI Application for diagnosing common diseases using Intel AI Tools and AI Frameworks.
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Diabetes Detection using Modin and scikit-learn* (sklearn): Developer Spotlight

Learn about a proposed solution to Diabetes Detection
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Breast Cancer Detection using Modin and scikit-learn* (sklearn): Developer Spotlight

Learn about a proposed solution to Breast Cancer Detection
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PyTorch New York Meetup (Virtual) on June 7th: Video Replay Available

Watch the video replay from the NYC PyTorch Meetup on Wednesday, June 7, 2023
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Deploy Accelerated Distributed AI Applications on the AWS Cloud

Capitalize on distributed architectures based on Kubernetes* with Intel® optimized AI software and h...
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Sign Language Recognition using scikit-learn* (sklearn): Developer Spotlight

Learn about Sign Language Recognition technology that recognizes actions from sign languages
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Face Mask Detection using scikit-learn* (sklearn): Developer Spotlight

Highlights from Ripan Roy blog proposing a solution to Face Mask Detection
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