Artificial Intelligence

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"Birds of a Feather Stick Together" To Produce Users-To-Items Recommendations In JavaScript

by Arthur V. Ratz

In this article, we'll discuss how to produce user-to-item recommendations by using SVD++, Pearson Correlation and probability-based similarity computation.

(AI) Sliding Puzzle Solution Analyzer

by Mehmet Mutlu

Details of my solution algorithms, implemented programs, and the results I have concluded.

.NET, TensorFlow, and the Windmills of Kaggle

by LOST_FREEMAN

Hands-on data science competition with TensorFlow on .NET

[A Simple] AI Chatbot Wizard: Create, Train and Chat

by dzzxyz

This application demonstrates how to Create, Train and Test an AI Chatbot.

Latest Articles

"Birds of a Feather Stick Together" To Produce Users-To-Items Recommendations In JavaScript

by Arthur V. Ratz

In this article, we'll discuss how to produce user-to-item recommendations by using SVD++, Pearson Correlation and probability-based similarity computation.

(AI) Sliding Puzzle Solution Analyzer

by Mehmet Mutlu

Details of my solution algorithms, implemented programs, and the results I have concluded.

.NET, TensorFlow, and the Windmills of Kaggle

by LOST_FREEMAN

Hands-on data science competition with TensorFlow on .NET

[A Simple] AI Chatbot Wizard: Create, Train and Chat

by dzzxyz

This application demonstrates how to Create, Train and Test an AI Chatbot.

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artificial-intelligence

"Birds of a Feather Stick Together" To Produce Users-To-Items Recommendations In JavaScript

by Arthur V. Ratz

In this article, we'll discuss how to produce user-to-item recommendations by using SVD++, Pearson Correlation and probability-based similarity computation.

(AI) Sliding Puzzle Solution Analyzer

by Mehmet Mutlu

Details of my solution algorithms, implemented programs, and the results I have concluded.

.NET, TensorFlow, and the Windmills of Kaggle

by LOST_FREEMAN

Hands-on data science competition with TensorFlow on .NET

[A Simple] AI Chatbot Wizard: Create, Train and Chat

by dzzxyz

This application demonstrates how to Create, Train and Test an AI Chatbot.

[tut 2] Lina ChatBot - Question Answering using Parsing CKY & Web Scrapping

by The Zakies

Question answer chatbot using natural language parsing and web scrapping

5 Ways to Add Artificial Intelligence to an Existing Application

by Chris Maunder

Adding AI to your applications doesn’t have to be all about fighting the tools and libraries

7 Ways Machine Learning Can Optimize DevOps

by Member 14750355

DevOps is a methodology that aims to create a synergy between software engineering and IT operations teams.

8 Puzzle - WPF

by Seshi

State space search algorithms - implemented with C# .NET 3.0 WPF

8 Queens Solution with Genetic Algorithm

by asef

Using Genetic Algorithm to solve the 8 Queens problem.

8-Puzzle solving using the A* algorithm using Python and PyGame

by Ghazanfar_Ali

Implementation of A* algorithm using Python and PyGame for solving an 8-Puzzle automatically.

A 3-Layer Feed-Forward Neural Net In C#, with Graphical Display

by Gary.Miller.WPF

MNIST Digit recognition in C#

A beginner's guide to Design and Program AI Robots; C#, C++ (Part 1)

by umar.techBOY

If you are good at highschool maths, basic c++ and know a little bit about electronics, you can follow this series of tutorials to make your DIY artificial intelligent robots.

A Brief Introduction to AI and Machine Language Translation

by Martin_Rupp

In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.

A C# .NET PacMan game

by Neri LLosa

An article on Pocket PC game development.

A Deep Dive Into Machine Translation

by Martin_Rupp

In this article we introduce the main theoretical concepts required for building an ML-based translator.

A Guide to Detection of an Unknown Face with CodeProject.AI Server and Blue Iris

by Sean Ewington

In this article, I use CodeProject.AI Server and Blue Iris to detect an unknown person and send an email notification with a picture when that happens.

A Look into the Future - Source Code Generation by the Bots

by Dmitriy Gakh

The perspectives of creating bots that write programs with two simple examples.

A Proposed Model for Simulating Human Artificial Intelligence.

by JoeSox

Unique Jungian and MBTI approach to develop Human Artificial Intelligence

A Realistic Simulation Framework With IoT For Traffic Control Based On Pollution Level

by Grasshopper.iics, Abhishek Nandy

High level IOT Co2 emission simulation.

A Review of Three Natural Language Processors, AlchemyAPI, OpenCalais, and Semantria

by Marc Clifton

In this article, I review three NLP services

A Simple World of Warcraft Addon using Lua

by Richard Chambers

An example of a combat information addon for World of Warcraft using Lua and the World of Warcraft API

A Suite of Discrete Probability Classes

by Joe Nellis

Five classes for computing discrete probabilities

A Tic Tac Toe AI with Neural Networks and Machine Learning

by Thomas Daniels

This article describes the making of a tic tac toe player that uses neural networks and machine learning.

Accelerate Llama 2 with Intel® AI Hardware and Software Optimizations

by Intel

Democratizing Access to Large Language Models

Accelerating Artificial Intelligence with Intel® End-to-End AI Optimization Kit

by Jian_Zhang

Democratizing AI with Intel-Optimized Software

Activating Screen Magic with Your Face in the Browser with TensorFlow.js

by Raphael Mun

In the next and final article of this series, we'll detect eye blinks and the mouth opens to make an interactive scene.

Add some AI to your combo box lookups

by hector [.j.] rivas

Helping the combo box autocomplete function with a frequency count.

Adding a .NET AI Module to CodeProject.AI Server

by Matthew Dennis

A brief walkthrough of adding a new .NET AI module to CodeProject.AI Server

Adding a New Module to CodeProject.AI Server

by Chris Maunder

In this article we explore how CodeProject.AI Server really works, and how simple it is to add your own functionality to CodeProject.AI server quickly and easily, leaving you to focus on your business, not your MLOps

Adding a Self Hosted Chatbot to an ASP.NET Website

by DaveMathews

Automated Chat bot agent in an ASP.NET website that does not depend on any external API services

AForge.NET open source framework

by Andrew Kirillov

The article describes an open source C# framework for researchers in the areas of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, etc.

Age Estimation With Deep Learning: Acquiring Dataset

by Sergey L. Gladkiy

In this article we’ll talk about the selection and acquisition of the image dataset.

Age Estimation With Deep Learning: Building CNN

by Sergey L. Gladkiy

In this article we’ll build the network we’ve designed using the Keras framework.

Age Estimation With Deep Learning: Designing CNN

by Sergey L. Gladkiy

In this article we’ll guide you through one of the most difficult steps in the DL pipeline: the CNN design.

Age Estimation With Deep Learning: Getting Started

by Sergey L. Gladkiy

In this article, we'll begin the process of how to use a deep neural network to estimate a person's age from an image.

Age Estimation With Deep Learning: Training CNN

by Sergey L. Gladkiy

In this article we train the CNN for age estimation.

Age Estimation With Deep Learning: Using CNN to Predict Age

by Sergey L. Gladkiy

In this article we will explain how to use the pre-trained CNN for estimating a person’s age from an image.

Agent DVR Facial Recognition with CodeProject.AI Server

by Sean Ewington

In this article, I set up facial recognition with Agent DVR and CodeProject.AI Server.

Agents and Multi-agent Systems

by Salman Jamali

This article discusses the paradigm shift in the way we model our information systems

AI : Neural Network for beginners (Part 1 of 3)

by Sacha Barber

AI : An introduction into Neural Networks

AI : Neural Network for beginners (Part 2 of 3)

by Sacha Barber

AI : An Introduction into Neural Networks (Multi-layer networks / Back Propagation)

AI Age Estimation in the Browser using face-api and Tensorflow.js

by MehreenTahir

In this article we’ll predict someone’s gender and age in the browser.

AI and ML: Is LATAM the next ‘big’ destination?

by Silvina Bruggia

The COVID-19 pandemic has accelerated machine learning (ML) adoption in many areas, resulting in firms increasing their ML investment and implementation efforts.

AI Anomaly Detection on Bitcoin Time Series Data

by Sergio Virahonda

In this article we talk about anomaly detection on time series data.

AI based Tic Tac Toe (Java code)

by Mohd Akram

Java Tic Tac Toe (AI based)

AI Chatbots With TensorFlow.js: Creating a Movie Dialogue Chatbot

by Raphael Mun

In this article, we'll create a chatbot we can have a dialogue with.

AI Chatbots With TensorFlow.js: Detecting Emotion in Text

by Raphael Mun

This is the first in a series of article where we'll explain how to create an AI chatbot using transformers.

AI Chatbots With TensorFlow.js: Generating Shakespeare Monologue

by Raphael Mun

In this article we’ll build a Shakespearean Monologue Generator in the Browser with TensorFlow.js.

AI Chatbots With TensorFlow.js: Improved Emotion Detection in Text

by Raphael Mun

In this article we are going to look at embedding entire sentences, rather than individual words, so that we can get much more accurate results in detecting emotion from the text.

AI Chatbots With TensorFlow.js: Improved Trivia Expert

by Raphael Mun

In this article we will create a knowledge chatbot.

AI Chatbots With TensorFlow.js: Training a Trivia Expert AI

by Raphael Mun

In this article, we’ll build a trivia chatbot.

AI Digital Assistant Customization via a Plugin Interface

by DaveMathews

Customizing and building a Plugin for an AI Voice Assistant platform for PC in C#

AI Emotion Detection in the Browser with Transfer Learning and TensorFlow.js

by MehreenTahir

In this article we create a web app that trains the classifier on the go and recognizes grumpy facial expressions.

AI Face Detection on Raspberry Pi

by Sergey L. Gladkiy

In this article we’ll run our face detector on a Raspberry Pi device.

AI Face Recognition with a Pre-Trained Model

by Arnaldo P. Castaño

In this article we’ll adapt the VGG16 model.

AI Forecasting and Anomaly Detection on Streaming Bitcoin Prices

by Sergio Virahonda

In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.

AI Forecasting on Bitcoin Time Series Data

by Sergio Virahonda

In the next article, we are going to discuss forecasting on Bitcoin time series.

AI Hazard Detection on Android with Tensorflow Lite

by Joel Ivory Johnson

This article series will show readers how to create a real-time AI hazard detector using an Android device.

AI Image Classification on iOS with ResNet

by Jarek Szczegielniak

Having converted a ResNet model to the Core ML format in the previous article, in this article we’ll now use it in a simple iOS application.

AI Language Translation With Multiple Languages

by Martin_Rupp

In this article, we’ll train and test our translation models on additional languages.

AI on the Edge: Face Mask Detection

by Sergio Virahonda

Different approaches to create a face mask detector

AI Queue Length Detection: Counting the Number of People in an Area

by MehreenTahir

In this article, we will train a deep learning model to detect and count the number of people in a given area.

AI Queue Length Detection: Object Detection in Images Using YOLO

by MehreenTahir

In this article we will compare training our models from scratch with more advanced and pre-trained approaches like YOLO.

AI Queue Length Detection: Object Detection in Video Using YOLO

by MehreenTahir

In this we’ll see if we can implement YOLO on video feeds for queue length detection.

AI Queue Length Detection: Object detection using Keras

by MehreenTahir

This is the first in an article series where we’re going to show how to make an AI queue length detector.

AI Queue Length Detection: R-CNN for Custom Object Detection Using Keras

by MehreenTahir

In this article, we’ll explore some other algorithms used for object detection and will learn to implement them for custom object detection.

AI- Simple Implementation of Uninformed Search Strategies

by Sara El-Sayed El-Metwally

Simple implementation of Uninformed Search Strategies in AI course.

AI Social Distancing Detector: Calculating the Center Point of Detected People

by Dawid Borycki

In this article, we'll calculate the center of each detected bounding box, which will serve as a base for calculating distance.

AI Social Distancing Detector: Detecting People in a Video Sequence

by Dawid Borycki

In this article we will perform object detection on the frames from the test data sets including video sequence stored in the video file.

AI Social Distancing Detector: Finding People That Are Too Close

by Dawid Borycki

In this article, we will use those centers to estimate distances between people and indicate people that are too close.

AI Social Distancing Detector: Improving People Detection With Yolo Object Detection

by Dawid Borycki

In this last article of the series, we improve our Python console application for AI-powered social distancing detection.

AI Social Distancing Detector: Object Detection in Video Frames

by Dawid Borycki

In this article, we continue learning how to use AI to build a social distancing detector.

AI Social Distancing Detector: Object Detection With TensorFlow and MobileNet

by Dawid Borycki

In this article, we will use drawing functions to depict detected objects.

AI Social Distancing Detector: Using OpenCV to Annotate Detected Objects

by Dawid Borycki

In this article, we will learn how to add annotations to images.

AI Social Distancing Detector: Working With Images in OpenCV

by Dawid Borycki

In this article series, we'll look at how to use AI and deep learning on video frames to ensure people are maintaining adequate social distancing in crowds.

AI: Evolution Simulation in the Physics World

by hemanthk119

Using Farseer Physics Library and Neural Networks, an example of behavioral evolution is simulated

AI: Neural Network for Beginners (Part 3 of 3)

by Sacha Barber

AI: An introduction into neural networks (multi-layer networks / trained by Microbial GA).

AI-Enhanced Data Science with Azure Synapse Analytics Part 1: Overview

by MehreenTahir

In this article we learn about how Azure Synapse Analytics and Azure Machine Learning help analyze data without extensive coding and ML experience.

AI-Enhanced Data Science with Azure Synapse Analytics Part 2: Setting up Workspaces and a Linked Service

by MehreenTahir

In this article we jump right into setting up an Azure Synapse workspace and Azure Synapse Studio to prepare for our machine learning analysis in the next article in the series.

AI-Enhanced Data Science with Azure Synapse Analytics Part 3: Training and Using Models and Enriching Data

by MehreenTahir

In this article we explore how to enrich our data using a pre-trained model and trigger an Auto ML experiment from a Spark table.

Alerting the Driver with AI Hazard Detection on Android

by Joel Ivory Johnson

In this next entry in the AI Hazard Detection on Android series, we will look at how we can avoid unnecessarily warning the user, and how we can quickly alert them.

An alternative introduction to Genetic and Evolutionary Algorithms

by Paulo Zemek

This article presents a very small evolutionary algorithm capable of discovering some math expressions to give the results for the values you provide.

An Introduction to Basic Algorithms of Machine Learning (Part 4)

by I Love Code

An Introduction to Logistic Regression

An Introduction to Encog Neural Networks for C#

by JeffHeaton

An introduction to creating neural networks with the Encog Framework for C#.

An Introduction to Encog Neural Networks for Java

by JeffHeaton

An introduction to creating neural networks with the Encog Framework for Java.

Android Arm NN Image Classification

by Joel Ivory Johnson

Image classification using Arm NN on Android mobile devices

Android Tensorflow Lite Best Practices and Optimizations

by Joel Ivory Johnson

In this article we will consider the ways in which the network could be further optimized.

ANNT : Convolutional neural networks

by Andrew Kirillov

The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.

ANNT: Feed Forward Fully Connected Neural Networks

by Andrew Kirillov

The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.

Anytime Customer Support using Artificial Intelligence Chatbot in Customer Service

by Habibur Rony

Basics of the rule-based chatbot, machine-learning chatbot and AI chatbot.

Apple-tron an AI for Farmers

by Prilvesh K

Apple-tron, a quick AI for small to medium enterprise farmers, that applies stickers to fruits

Applying Ant Colony Optimization Algorithms to Solve the Traveling Salesman Problem

by geoyar

Applying Ant Colony Optimization algorithms to solve the Traveling Salesman Problem.

Arrays UNDOCUMENTED

by Wesner Moise

An detailed look at the implementation of Arrays and ArrayLists.

Artificial Intelligence

by Ganesan Senthilvel

Exploring the concepts of Artificial Intelligence

Artificial Intelligence (AI) Chatbot

by dzzxyz

This application demonstrates how to write a VB client for an AI chat bot.

Artificial Intelligence in Games

by Software Developer's Journal

This article presents an overview of the key techniques and algorithms used in modern computer games.

Artificial Intelligence is an Engineering Problem, Not Magic!

by DataBytzAI

Part one of a series to demystify and democratize the magic (not) of AI

Artificial Intelligence Powers Clinical Trials

by Intel

Artificial intelligence holds greater promise in transforming clinical research.

Artificial Intelligent Home Assistant

by Gnanendra Kumar

An Artificial Intelligent Home Assistant

Artificial Neural Network C++ Class

by Hatem Mostafa

Artificial Neural Network C++ class with two use cases: Counter and Handwritten Digits recognition

Artificial Neural Networks made easy with the FANN library

by Software Developer's Journal

Neural networks are typically associated with specialised applications, developed only by select groups of experts. This misconception has had a highly negative effect on its popularity. Hopefully, the FANN library will help fill this gap.

Automatic Image Stitching with Accord.NET

by César de Souza

Demonstration of automatic image stitching by interest point matching using the Accord and AForge.NET Frameworks

Automatic Training, Testing, and Deployment of AI Using MLOps: Overview

by Sergio Virahonda

In this article series, we'll demonstrate how to take use a CI/CD pipeline - a tool usually used by developers and DevOps teams - and demonstrate how to use it to create a complete training, test, and deployment pipeline for AI that meets the requirements of level 2 in the Google MLOps Maturity

Backgammon Artificial Intelligence

by KristianEkman

How to build an AI which plays Backgammon

Basis of Neural Networks in Visual Basic .NET

by Emiliano Musso

Basics of implementing a neural network in VB.NET

Battlefield Simulator

by Christ Kennedy

KOEI-like old-school war game and battlefield simulator, with infantry, artillery, and cavalry units.

Bezier Curve Machine Learning Demonstration

by asiwel

Bezier Curve Classification Training And Validation Models Using ALGLIB

Bezier Curve Machine Learning with MS CNTK

by asiwel

Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB

Big Data

by Mahsa Hassankashi

It is almost everything about big data.

BoofCV: Real Time Computer Vision in Java

by lessthanoptimal

Introduction to and an example of how to use BoofCV

Boosting Business with AI

by Intel

Leveraging Open-Source AI Technologies with Red Hat OpenShift Data Science and Intel® Architecture

BriefMaker – An App for Processing Real-Time Market Data

by Ryan Scott White

Converts past and real-time stock market tick data into time-sliced summaries called Briefs

Bringing RISK to the Digital World

by Intel

This case study examines the process that game developer Marmalade followed as it created an electronic version of Hasbro’s classic board game, RISK: The Game of Global Domination.

Brute Force Finds Spam

by raddevus

Entry in the Artificial Intelligence and Machine Learning Contest. Here's how I learned / guessed how to find spam.

Build Simple AI .NET Library - Part 1 - Basics First

by Gamil Yassin

Part 1 of a series of articles demonstrating .NET AI library from scratch

Build Simple AI .NET Library - Part 2 - Machine Learning Introduction

by Gamil Yassin

This is a series of articles demonstrating .NET AI library from scratch

Build Simple AI .NET Library - Part 3 - Perceptron

by Gamil Yassin

Perceptron, when to use it and sample code

Build Simple AI .NET Library - Part 4 - Beyond Perceptron

by Gamil Yassin

Part 4 of a series of articles demonstrating .NET AI library from scratch

Build Simple AI .NET Library - Part 5 - Artificial Neural Networks

by Gamil Yassin

Types of Artificial Neural Networks

Build Simple AI .NET Library - Part 6 - ML Algorithms

by Gamil Yassin

ML algorithms based on function or type of problems they solve

Building a Core ML Pipeline for the iOS Vision Framework

by Jarek Szczegielniak

In this article we’ll create a Core ML pipeline to be our end-to-end model.

Building a Magical Emotion Detection Hat in the Browser with TensorFlow.js

by Raphael Mun

In this article we are going to bring together all of the pieces we’ve built so far in this series for some visual reflection fun.

Building a Programing Language – Part I (Creating BrainLess)

by BrainlessLabs.com

This is the first of a series of articles where we will explore about writing compilers.

Building a Recommendation Engine in C#

by Scott Clayton

Build a recommendation system using collaborative filtering and matrix factorization.

Building AI Language Translation with TensorFlow and Keras

by Martin_Rupp

In this article we’ll build our AI language translation system.

Building an AI Chatbot using a Regular Expression Engine

by MattsterP

This article describes how to build an AI Chatterbot using a popular, Regular Expression-based open source Chatterbot engine: Verbots

Building an AI Image Classification Model for iOS Using Create ML and Core ML

by Jarek Szczegielniak

In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.

Building an Object Detection iOS App with YOLO Core ML Model

by Jarek Szczegielniak

In this last article in this series, we’ll extend the application to use our YOLO v2 model for object detection.

Building and Probing Prolog with Intel® Architecture

by Intel® Nervana™ AI Academy

This article aims to explore what happens when Intel solutions support functional and logic programming languages that are regularly used for AI.

Building Recommendation Systems using Python

by MehreenTahir

This article will help you build different types of basic recommendation systems using Python.

C++ Fuzzy Logic API + Simple DSL

by Sašo Mađarić

Fuzzy Logic API and Fuzzy Logic DSL implemented with C++.

Cartpole: The “Hello World” of Reinforcement Learning

by philoxenic

In this article, you will be up and running, and will have done your first piece of reinforcement learning.

Cartpole: Tweaking the Options

by philoxenic

In this article, we will see what’s going on behind the scenes and what options are available for changing the reinforcement learning.

Cat or Not - An Image Classifier using Python and Keras

by Ryan Peden

A code-first introduction to neural networks

Chatterbot Eliza

by Gonzales Cenelia

This is an Eliza like chatterbot.

Choosing Hardware for AI Traffic Speed Detection

by Allister Beharry

In this article, we select hardware components for our AI/Pi-based solution and assemble them into a functional system.

Cleaning Data in a Pandas DataFrame

by Glenn Prince

In this fifth part of the Data Cleaning with Python and Pandas series, we take one last pass to clean up the dataset before reshaping.

Cloud AI with SAP HANA and Amazon SageMaker

by Ryan Peden

Using SAP HANA and Amazon SageMaker to have fun with AI in the cloud!

cn5apinet - ConceptNet5 API Library

by JoeSox

Connect to ConceptNet 5's REST API

CNTK Model Concurrency Demonstration

by asiwel

How to Deploy Trained Models Concurrently

CodAI -Programming language detection AI

by Rupesh Sreeraman

Programming language Detection AI

CodeProject 10 Million Members Celebration

by Nish Nishant, Marcelo Ricardo de Oliveira, Monjurul Habib, Kunal Chowdhury «IN», Shai Raiten

In the summer of 2013, CodeProject celebrated hitting 10 million members and invited various CodeProject members to host get-togethers around the world. Here are some of the goings-on at those celebrations.

CodeProject.AI Module creation: A full walkthrough in Python

by Chris Maunder

The full walkthrough of a bare bones module for CodeProject.AI using Python

CodeProject.AI Server Modules Registry

by Chris Maunder

A registry for downloadable modules for installation in CodeProject.AI Server

CodeProject.AI Server, Blue Iris and Face Recognition

by Sean Ewington

In this article, I show you how to get facial recognition working in Blue Iris and CodeProject.AI Server.

CodeProject.AI Server: AI the easy way.

by CodeProject

Version 2.6.5. Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language

Collective Intelligence, Recommending Items Based on Similar Users' Taste

by Omar Gameel Salem

Using Collaborative Filtering to find people who share tastes, and for making automatic recommendations based on things that other people like.

Combining Multiple Datasets in Pandas

by Glenn Prince

In this fourth part of the Data Cleaning with Python and Pandas series, we look at a few of the simpler methods for combining data

Comparing Self-Hosted AI Servers: A Guide for Developers

by Chris Maunder

This article explores the various self-hosted AI frameworks available and understand their strengths, weaknesses, and compatibility with your project requirements. Make an informed decision that aligns with your organization's goals

Completing the AI Traffic Speed Detector

by Allister Beharry

In this we discuss improvements we can make to the software in terms of performance or accuracy. We also compare our homebrew open-source system to commercial vehicle speed detection systems.

Concurrent Programming - A Primer

by Marc Clifton

An overview of Microsoft's Parallel FX initiative, including the Task Parallel Library and PLINQ.

Console pseudo Artificial Intelligence

by prof3ssor

Console application that assumes artificial inteligence to the feable user

Containerized AI and Machine Learning: Overview

by Jarek Szczegielniak

In this article – the first one of the series – we’ll go over some Docker basics as they apply to ML applications.

Contract Model for Manageable Services

by Roman Kiss

This article describes the design and implementation of the Repository Tool to create and manage contracts for virtual (manageable) services.

Converting an ONNX Object Detection Model to iOS Core ML

by Jarek Szczegielniak

In this series, we’ll use a pretrained model to create an iOS application that will detect multiple persons and objects in a live camera feed rather than in a static picture.

Converting YOLOv5 PyTorch Model Weights to TensorFlow Lite Format

by Sergio Virahonda

In this article we test a face mask detector on a regular computer.

Correcting Missing Data in Pandas

by Glenn Prince

In this third part of the Data Cleaning with Python and Pandas series, we delve into some of the problems the dataset may contain.

COVID-19 Diagnosis Results with Deep Learning and ResNet50

by Abdulkader Helwan

In this article, we’ll discuss the COVID-19 detection results we’ve achieved with our model and compare these results with those of other models.

COVID-19 Diagnosis Using ResNet50 Transfer Learning: Building a DL Network from Scratch

by Abdulkader Helwan

In this article, we’ll show you how to build a network for Covid-19 detection from scratch.

COVID-19 Diagnosis with Deep Learning

by Abdulkader Helwan

In this article, we introduce transfer learning and ResNet50.

Crash Detection Using the Accelerometer

by Joel Ivory Johnson

In the next entry of the AI Hazard Detection on Android series, we will look at crash detection and notifications.

Create a ML Classification Pipeline in .NET with ClassifyBot

by Allister Beharry

We'll use the ClassifyBot program to put together an ML pipeline to solve a text classification problem using open-source ML components

Create Your First Machine Learning Model to Filter Spam

by sjb_strat

Create a Spam Filter Using Machine Learning

Creating a LLM Chat Module for CodeProject.AI Server

by Matthew Dennis

Create a ChatGPT-like AI module for CodeProject.AI Server that handles a long-running process.

Creating a Snapchat-Style Virtual Glasses Face Filter in the Browser with TensorFlow.js

by Raphael Mun

In this article we are going to use the key facial points to render a 3D model virtually over our webcam feed for some Augmented Reality fun.

Creating a Turing Machine in Python – Part 1

by Philipp_Engelmann

In this series, I want to show you how to create a simple console-based Turing machine in Python. You can check out the full source code on https://github.com/phillikus/turing_machine. In this part, I will explain the fundamental theory behind Turing machines and set up the project based on that.

Creating a Turing Machine in Python – Part 2

by Philipp_Engelmann

How to create a Turing machine in Python - Part 2

Creating a YOLO Core ML Object Detector with Decoding Logic

by Jarek Szczegielniak

In this article we are ready to include detection decoding directly in the Core ML model.

Creating an Android AI App With Tensorflow Lite

by Joel Ivory Johnson

In this article we will create an Android application and import our TensorFlow Lite model into it.

Creating an On-Premise Offline Bot in C# using Oscova

by DaveMathews

Using Oscova and Oryzer FBP platform, we'll build an on-device table reservation bot to understand the concepts behind today's offline bot development standards.

Creating Docker Containers for AI and Machine Learning

by Jarek Szczegielniak

In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.

Cryptarithmetic

by trushant pachnekar

The science and art of creating and solving cryptarithms.

Cultivating a Culture for Intelligent Apps: Organizational Readiness and Change Management

by Cloud Native Apps Team

Prepare your organization to adopt intelligent apps by taking a change management approach.

Custom AI Face Recognition With Keras and CNN

by Arnaldo P. Castaño

In this article we’ll put together our CNN and train it for face recognition.

Custom Model Object Detection with OpenCV and ImageAI

by Glenn Prince

This article gives you a good starting point for your own object detection projects.

Data Classification Using VB.NET and Genetic Algorithm

by Taylor Kobani

A simple example of how to classify data using genetic algorithm and VB.Net

Data Mining: An Introduction to Neural Networks in SQL Server

by Harinder Saluja

Implement Neural Network in SQL Server

Data Science is an Ocean of Information—Stay Focused!

by Intel

In this article, we discuss our teachings about data science in a series of steps so that any product manager or business manager interested in exploring this science will be able take their first step toward becoming a data scientist or at least develop a deeper understanding of this science.

Data Visualization using Seaborn and Pandas

by Glenn Prince

In this seventh part of the Data Cleaning with Python and Pandas series, we can explore our visualization options.

Debugging AI Code Running in a Docker Container

by Jarek Szczegielniak

In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.

Decoding a Core ML YOLO Object Detector

by Jarek Szczegielniak

In this article, we will decode the Core ML YOLO Model by transforming an array of abstract numbers to a human-readable form.

Decoding a YOLO Core ML Object Detector Using Array Operations

by Jarek Szczegielniak

In the next article, we’ll do the same but with array operations. This will allow us to include the decoding logic directly in the model.

Deep Learning

by Mahsa Hassankashi

Deep learning convolutional neural network by tensorflow python, complete and easy understanding

Deep Learning for Fashion Classification

by Abdulkader Helwan

In this series of articles, we’ll showcase an AI-powered deep learning system that can revolutionize the fashion design industry by helping us better understand customers’ needs.

Deep Learning in C#: Coin Detection Using OpenCV

by Arnaldo P. Castaño

In this series of articles we will use a deep neural network (DNN) to perform coin recognition. Specifically, we will train a DNN to recognize the coins in an image.

Deep Learning in C#: Coin Recognition in Keras.NET, Part I

by Arnaldo P. Castaño

In this article, we will examine a convolutional neural network for the problem of coin recognition, and we will implement one in Keras.NET.

Deep Learning in C#: Coin Recognition in Keras.NET, Part II

by Arnaldo P. Castaño

In this article we will examine the CNN we implemented for coin recognition using Keras.NET.

Deep Learning in C#: Coin Recognition with a Pre-Trained Model in ML.NET

by Arnaldo P. Castaño

To end off this series, we will present the alternative of adapting a pre-trained CNN to the coin recognition problem we have been examining all along.

Deep Learning in C#: Preprocessing the Coin Detection Dataset

by Arnaldo P. Castaño

In the next article, we will preprocess a dataset to be inputted to a machine learning model.

Deep Learning in C#: Understanding Neural Network Architecture

by Arnaldo P. Castaño

In this article we will go over the basics of supervised machine learning and what the training and verification phases consist of.

Deep Learning Text-to-Speech

by Arnaldo P. Castaño

In this article we focus on the Text-to-Speech with the use of Deep Learning.

Demystifying Intelligent Applications: Leveraging AI in App Development

by Cloud Native Apps Team

This article explores the concept of intelligent applications for readers, providing a clear understanding of the role of AI capabilities in modern applications.

Deploy an Intelligent App on Azure Container Apps with Azure AI: Part 1

by Cloud Native Apps Team

In this four-part series, you’ll learn how to create an Intelligent App with Azure. This first tutorial walks you through what Azure AI and Azure Container Apps are, how to set up an Azure environment, and building your basic application.

Deploy an Intelligent App on Azure Container Apps with Azure AI: Part 2

by Cloud Native Apps Team

In this four-part series, you’ll learn how to create an Intelligent App with Azure. This second tutorial demonstrates how to add intelligent features to this user feedback analysis application. Then, it explores how to use your new Intelligent App to analyze user feedback.

Deploying AI Docker Containers to the Cloud

by Jarek Szczegielniak

In this article, we publish our NLP API service to Azure using Azure Container Instances.

Deploying YOLOv5 Model on Raspberry Pi with Coral USB Accelerator

by Sergio Virahonda

In this article we’ll deploy our YOLOv5 face mask detector on Raspberry Pi.

Designing Conscious Systems

by Adrian Pirvu

Creation of sentient agents

Detecting Facial Emotions in the Browser with Deep Learning Using TensorFlow.js

by Raphael Mun

In this article we'll use the key facial landmarks to infer more information about the face from the images.

Detecting Pests Using Pre-Trained SSD Models

by Sergey L. Gladkiy

In the next article, we’ll use a pre-trained DNN to detect pests on video.

Detecting Pests with a Motion Detector and Trained DNN

by Sergey L. Gladkiy

In this article, we’ll show you how to develop a simple motion detector and combine it with the trained DNN model to detect moose on video.

Detecting Spam with Azure Machine Learning

by Scott Clayton

Train a binary classifier in Azure and then use it in a C# application.

Detecting Unusual Pests

by Sergey L. Gladkiy

In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.

Developing AI chatbots

by Elagizy

This guide helps you how to program your own chat bot.

Developing MIDI applications with DirectMusic

by Carlos Jiménez de Parga

A wrapper class library for the DirectMusic MIDI.

Developing Mobile Game Graphics for Intel® Architecture-Based Android* Tablets, Part 2

by Android on Intel

In the conclusion of this two-part series, I detail the best 3D game engine and middleware solutions for Android* tablets, including free, open source, and proprietary options. I also note which have native support for x86 Intel® processors.

Discover How oneAPI Is Revolutionizing Programming

by Intel

It's not just between one architecture today and another architecture today, but the architectures of today and tomorrow. oneAPI has the potential to become the industry norm for compiling code for all kinds of architectures.

Discussing MasterCard’s OpenAPI platform with business leader Dave Butler

by CodeProject

Dave Butler, VP and Senior Business Leader at MasterCard, offers developers insight into the company’s worldwide OpenAPI platform.

Dockerized AI on Large Models With NLP and Transformers

by Jarek Szczegielniak

In this article we run an inference model for NLP using models persisted on a Docker volume.

Dogs and Pizza: Computer Vision in the Browser With TensorFlow.js

by Raphael Mun

In this article, we’ll dive into computer vision running right within a web browser.

Eliminating Pests with a Raspberry Pi

by Sergey L. Gladkiy

In this article, we’ll test our detection algorithm on a Raspberry Pi 3 device and create the "scare pests away" part of our pest eliminator by playing a loud sound.

Embedding IronPython in a C# Application

by James Wucher

Examples of embedding the Iron Python engine in a C# form application.

Essential Tools for Jumpstarting AI Development Projects

by Intel

This article examines oneAPI and explores some of Intel's many tools built on it to see how oneAPI makes AI development more straightforward and manageable.

Evolution computations on C#

by Andrew Kirillov

The articles describes a C# library for evolution computations and their application for several problems solving.

Evolution of Microsoft Bot Framework

by Ganesan Senthilvel

An interesting article on Artificial Intelligence Chat Ro(Bot) application development

Exercising Misty's Extensibility

by Johnathan Ortiz-Sonnen

Deconstructing Misty's "Follow Ball" Skill

Experiencing Jack (Agent development Environment)

by Salman Jamali

I have discussed how to set up Jack and what it defines an agent to be, plus a step-by-step procedure to compile and run an example in it

Explorer's Guide to the Semantic Web - Chapter 5: Searching

by Helen Trimes

Semantic web and searching.

Exposing Dockerized AI Models via RESTful API

by Jarek Szczegielniak

In this article, we’ll modify our code to expose the same logic via a Rest API service.

Extending Dataset with Data Augmentation

by Sergey L. Gladkiy

In this article, we’ll see how the same result can be achieved by data augmentation.

Face Detection with AI

by Arnaldo P. Castaño

In this article, we go over the steps to detect faces in an image.

Face Touch Detection with TensorFlow.js Part 1: Using Real-Time Webcam Data With Deep Learning

by Raphael Mun

In this article, we are going to use all that we’ve learned so far with computer vision in TensorFlow.js to try building a version of this app ourselves.

Face Touch Detection with TensorFlow.js Part 2: Using BodyPix

by Raphael Mun

In this article, we are going to use BodyPix, a body part detection and segmentation library, to try and remove the training step of the face touch detection.

Facial biometric authentication on your connected devices

by Afzaal Ahmad Zeeshan

In this post, I am going to walk you through creating your own central hub to allow your connected devices to authenticate people using facial recognition system.

FAQ: Blue Iris and CodeProject.AI Server

by Sean Ewington

This article is a continually updated FAQ on how to use Blue Iris with CodeProject.AI Server

File Explorer Clone with Tabs and Parallel File Search Tool

by Wade Harvey

This article shows how to use Winforms, WPF and C# to create a File Explorer Clone with Tabs and an extremely fast parallel file search utility.

Finding Data for Natural Language Processing

by Jayson DeLancey

This article is the second in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article, we'll look at datasets provided by NLTK, as well as an example of capturing your own textual corpus for analysis.

Finding Groups in Data with C# - Agglomerative Clustering

by Rodrigo Costa Camargos

Implement well-known agglomerative clustering algorithm in C#

Finding Training Data for OpenCV and ImageAI Object Detection

by Glenn Prince

In this article, we create an object detection model.

Fine-tuning ResNet50 to Diagnose COVID-19

by Abdulkader Helwan

In this article, we’ll fine-tune our ResNet50 model.

Fine-Tuning the Falcon 7-Billion Parameter Model with Hugging Face and oneAPI

by Intel

Optimizing Large Language Models on Intel® Xeon® Processors with Intel® Advanced Matrix Extensions (Intel® AMX)

Fine-tuning VGG16 to Classify Clothing

by Abdulkader Helwan

In this article we show you how to train VGG19 to recognize what people are wearing.

Fluffy Animal Detector: Recognizing Custom Objects in the Browser by Transfer Learning in TensorFlow.js

by Raphael Mun

In this article we will build a Fluffy Animal Detector, where I will show you a way to leverage a pre-trained Convolutional Neural Network (CNN) model like MobileNet.

From Machine Learning to Machine Cognition

by Adrian Pirvu

A Roadmap to Intelligence

Fuzzy Logic Vs BackPropagation Network

by pseudonym67

Another experiment looking at a different way to implement Neural Network code.

GALib

by Jeroen De Dauw

A small C# library that provides scaffolding for genetic algorithm based functionality.

Generate New Fashion Designs with a Generative Adversarial Network (GAN)

by Abdulkader Helwan

In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.

Generative AI Playground: Image-To-Image Stable Diffusion with RunwayML and Stability AI on the Latest Intel® GPU

by Benjamin Consolvo

This article explores the use of Stable Diffusion models, focusing on image-to-image generation, using Intel's newly released Intel Data Center GPU Max Series 1100.

Generative AI Playground: LLMs with Camel-5b and Open LLaMA 3B on the Latest Intel® GPU

by Benjamin Consolvo

This article explores the use of Large Language Models (LLMs) in various applications, such as chatbots, code generation, and debugging.

Generative AI Playground: Text-to-Image Stable Diffusion with Stability AI, Stable Diffusion XL, and CompVis on the Latest Intel® GPU

by Benjamin Consolvo

This article discusses the application of Stable Diffusion models in generative AI, focusing on image generation from text prompts.

Generative Art - Autonomy: Cellular Automata

by Manning

A chapter excerpt from Generative Art

Genetic algorithm for icon generation in Visual Basic

by Emiliano Musso

Definitions and examples of a genetic algorithm; Visual Basic sample for an icon generation through a model and a random initial range of solutions.

Genetic Algorithms and the Traveling Salesman Problem

by Konstantin Boukreev

An example of using Genetic Algorithms for solving the Traveling Salesman Problem

Getting Started - AI Image Classification With TensorFlow.js

by MehreenTahir

In this article we load a pre-trained model using TensorFlow.js to predict the breed of the dog inside our web browser.

Getting Started With Deep Learning in Your Browser Using TensorFlow.js

by Raphael Mun

In this article, I will show you how quickly and easily set up and use TensorFlow.js to train a neural network to make predictions from data points.

Getting Started With Hybrid Edge AI for Facial Recognition

by Sergey L. Gladkiy

In this article we discuss the principles of face detection and facial recognition.

GMIS: Turn All Your Devices into Robots

by HongBing75

A general robot operating system

Harnessing the Power of Intelligent Apps: Real-world Success Stories

by Cloud Native Apps Team

Explore real-world examples of how Intelligent Apps revolutionize logistics, retail, finance, manufacturing, tech, and medicine

How Quantum Computing can Impact the Healthcare Industry?

by Nirosh

Impact of quantum computing on healthcare industry

How the "Be the Thief" experience was created

by HTML5 Partners

How the "Be the Thief" experience was created

How to Get Started as a Developer in AI

by Intel

This article will go over some basics of AI, and outline some tools and resources that may help.

How to Install Home Assistant Container on Windows and Publish an MQTT Message

by Sean Ewington

In this article, I will show you how to install Home Assistant Container on Windows, using Docker and Portainer, get it working with Agent DVR, and send an MQTT message from Agent DVR using CodeProject.AI Server to detect a person.

How to Run CodeProject.AI Server in Docker

by Sean Ewington

In this article, I guide you through installing Docker, then running CodeProject.AI Server in Docker.

How to Setup a Custom AI Model in Agent DVR Using CodeProject.AI Server

by Sean Ewington

In this article I show to use Agent DVR and CodeProject.AI Server to detect a delivery package, and take a recording when a package is detected.

How to Setup Agent DVR and CodeProject.AI Server on Windows Using a Wyze Cam

by Sean Ewington

In this article, we setup Agent DVR, get it running with CodeProject.AI Server, and setup Agent DVR to trigger an alert when a person is detected.

How to Setup Blue Iris and CodeProject.AI Server on Windows Using a Wyze Cam

by Sean Ewington

In this article, I walk you through setting up CodeProject.AI Server and Blue Iris using a Wyze Cam v3.

How to Setup CodeProject.AI Server on a Raspberry Pi with Home Assistant OS

by Sean Ewington

In this article, I'm going to set up Home Assistant OS on a Raspberry Pi 4, then use CodeProject.AI Server to detect a person, and then have Home Assistant send a notification with an image to a mobile phone.

How to Setup CodeProject.AI Server with Home Assistant Container

by Sean Ewington

In this article, I set up Home Assistant Container to work with CodeProject.AI Server and a Wyze Cam v3. Then as a proof of concept, I'll use CodeProject.AI Server to detect a person from Home Assistant.

How to start your career as a highly skilled iOS developer

by Matteo Manferdini

A guide on how to be on top of iOS development

How to Train a Custom YOLOv5 Model to Detect Objects

by Matthew Dennis

In this article, I will discuss what I experienced while creating a custom model for the detection of backyard pests. You can download the resulting critters.pt file.

How to Train an Object Detection Model for Visual Inspection with Synthetic Data

by NVIDIA

The article discusses the challenges in training accurate object detection models for industrial visual inspection and proposes the use of synthetic data to address dataset limitations.

How to Train and Test an AI Language Translation System

by Martin_Rupp

In this article, we’ll train and test the model we created in the previous entry in the series.

How to Write a 2 in 1 aware Application

by Stevan Rogers

Dynamically adapting your UI to 2 in 1 configuration changes

Human Action Recognition with OpenVINO™ Toolkit

by Paula_Ramos

In this article, you will learn how to work with live human action recognition using the OpenVINO™ AI toolkit in a synchronized schedule.

Hybrid Edge AI Face Alignment

by Sergey L. Gladkiy

In this article I’ll explain how to perform the alignment based on the face landmarks the detector has found.

Hybrid Edge AI Face Detection

by Sergey L. Gladkiy

In this article, we’ll run a pretrained DNN model to detect faces in video.

Hybrid Edge AI for Facial Recognition: Next Steps

by Sergey L. Gladkiy

In this article, we’ll discuss some aspects of developing a facial recognition system from scratch.

Image Tagger - A Convolutional Neural Network Based Image Classifier

by Huseyin Atasoy

An image classifier / tagger based on convolutional neural networks. Now more than 10 times faster with the Intel MKL support.

Implementing Gradient Descent to Solve a Linear Regression Problem in Matlab

by Ashkan Pourghasem

Hands on tutorial of implementing batch gradient descent to solve a linear regression problem in Matlab

Implementing vector databases in C# with kd-trees

by Nicolas DESCARTES

How to implement kd-trees in C# ?

Improving NLTK Sentiment Analysis with Data Annotation

by Jayson DeLancey

This article is the sixth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article let’s look at what a process of annotating our own dataset would entail.

Inference in Belief Networks

by hzhou

A C# implementation of bucket elimination algorithm for inference in belief networks.

Installing OpenCV and ImageAI for Object Detection

by Glenn Prince

In this article, we'll set up everything we need to build a hardhat detector with OpenCV.

Integrate SAP-HANA EML Library And TensorFlow Model Server (TMS) To Predict S&P 500 Index: Part 1: Install and Configure SAP-HANA

by Arthur V. Ratz

How to properly install and configure SAP-HANA and TensorFlow Model Server to predict the S&P 500 Index

Integrate SAP-HANA EML Library And TensorFlow Model Server (TMS) To Predict S&P 500 Index: Part 2: Build and Export TensorFlow Model

by Arthur V. Ratz

How to create and export TensorFlow S&P 500 Index prediction model and serve it using TensorFlow Model Server

Integrate SAP-HANA EML Library And TensorFlow Model Server (TMS) to Predict S&P 500 Index: Part 3: Predict S&P 500 Index Using EML Library

by Arthur V. Ratz

How to predict S&P 500 Index on the SAP-HANA SQL-engine backend using EML library

Integrating a Chatbot into Unity in C#

by DaveMathews

Using an on-device bot development framework to integrate a chatbot into unity

Intel® Software Innovator Adam Milton-Barker: Using AI and IoT to Disrupt Technology

by Intel

An interview with Adam Milton-Barker, Intel® Software Innovator.

Intelligent Systems - Part I

by Utku KAYA

Introduction to Intelligent Systems in practice.

Intel-Powered Deep Learning Frameworks

by Intel

Your Path to Deeper Insights

Interpreting Hand Gestures and Sign Language in the Webcam with AI using TensorFlow.js

by Raphael Mun

In this article, we will take photos of different hand gestures via webcam and use transfer learning on a pre-trained MobileNet model to build a computer vision AI that can recognize the various gestures in real time.

Intro to Intelligent Agents

by JoeSox

Basic concepts in Intelligent Agent programming.

Introducing Jupyter and Pandas

by Glenn Prince

This article is the first in the Data Cleaning with Python and Pandas series that helps working developers get up to speed on data science tools and techniques.

Introducing NLTK for Natural Language Processing with Python

by Jayson DeLancey

This article is the first in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. This article is a primer on some key NLP concepts and getting started with the Natural Language Toolkit (NLTK) Python library.

Introducing OpenVINO™ integration with TensorFlow

by Stephanie_Maluso

This article provides a better understanding of the benefits of OpenVINO integration with Tensorflow: how it works, deployments environments, and how OpenVINO integration with TensorFlow differs from using native OpenVINO API

Introduction to Face Identification

by Sergey L. Gladkiy

In this article, we focus on developing and testing a face identification algorithm along with the face detection module.

Introduction to HTML5 Web Workers: The JavaScript Multi-Threading Approach

by David Rousset

In this article we’re going to see that HTML5 offers the Web a better way to handle these new, marvelous processors to help you embrace a new generation of Web applications

Introduction to Keras

by Thomas Daniels

In this article, let’s dive into Keras, a high-level library for neural networks.

Introduction to Natural Language Processing with NLTK

by Thomas Daniels

In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).

Introduction to NumPy, TensorFlow, and scikit-learn

by Thomas Daniels

In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.

Introduction to OpenAI Gym: Atari Breakout

by philoxenic

In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.

Introduction to OpenCV

by Thomas Daniels

In this article let's get started hands-on with OpenCV.

Introduction to wxWidgets

by Priyank Bolia

A beginner's tutorial on wxWidgets for cross platform GUI development.

Introduction to wxWidgets GUI programming with wxSmith

by Andres Cassagnes

A basic guideline to start with GUI designing with wxWidgets

Invasion Game in MonoGame for Windows Phone 8

by Dan Colasanti

This article describes my experience porting Invasion from XNA/WP7 to MonoGame/WP8 and includes Invasion's complete source code.

Invasion Game in XNA for Windows Phone 7

by Dan Colasanti

This is a port of Invasion (originally posted on CodeProject by Mauricio Ritter) to Windows Phone 7 (with some enhancements).

iOS Object Detection with Live Camera Preview

by Jarek Szczegielniak

In the next article, we’ll start working on the iOS application that will use that model.

ISATIS - ideas for a new operating system

by Tecfield

This article is about a new operating system called ISATIS

JavaScript Machine Learning and Neural Networks with Encog

by JeffHeaton

Use Encog genetic algorithms, simulated annealing, neural networks and more with HTML5 Javascript.

Jumpstart Your AI Journey: Building Your First Intelligent App with Azure AI and AKS

by Cloud Native Apps Team

In this first article of our hands-on series, we’ll delve into creating an Intelligent App that leverages Azure AI Vision to analyze images and extract data.

Jumpstart Your AI Journey: Building Your First Intelligent App with Azure AI and AKS - Part 2

by Cloud Native Apps Team

In the last article, we created an Intelligent App that leverages Azure AI Vision to analyze images and extract data. We developed an API to perform optical character recognition (OCR) on uploaded images and tested this API locally.

K-means using F#

by Gaston Verelst

How to use F# to implement algorithms such of k-means

Knowledge Management – An Initiative

by Abhishek M

An article on Knowledge Management for organizations.

Knowledge-Based Systems with the CommonKADS Methodology

by Carlos Jiménez de Parga

Expert system modeling in CommonKADS and CLIPS implementation, embedded in C++.

KReversi, Learn to Implement Minimax Algorithm by Creating a Reversi Bot

by KrirkDev

This game allows you to create a Minimax bot, then play reversi with it.

Labelling Images for AI Model Training

by Sergio Virahonda

In this article in the series, we label a face mask dataset.

Leadership Performance with 2nd-Generation Intel® Xeon® Scalable Processors

by Intel

New Features and Tools to Maximize Your HPC, AI, and Analytics Applications

Learn Microsoft Business intelligence step by step – Day 1

by Marla Sukesh

In this article we will learn basics about DW, BI, SSIS and ETL Process

Learn to create MSBI ( Microsoft Business Intelligence) project in 7 days

by Marla Sukesh

In this article we Learn step by step how to create project with MSBI.

Learning Breakout From RAM – Part 1

by philoxenic

In this article we will learn from the contents of the game’s RAM instead of the pixels.

Learning Breakout From RAM – Part 2

by philoxenic

In this article, we will see how we can improve by approaching the RAM in a slightly different way.

Learning Breakout More Quickly

by philoxenic

In this article, we will see how you can use a different learning algorithm (plus more cores and a GPU) to train much faster on the mountain car environment.

Learning Breakout: Advanced Topics

by philoxenic

In this final article in this series, we will look at slightly more advanced topics: minimizing the "jitter" of our Breakout-playing agent, as well as performing grid searches for hyperparameters.

Learning Connect Four

by pseudonym67

A Connect Four Game that learns from experience.

Learning Machine Learning, Part 3: Application

by Alibaba Cloud

This post features a basic introduction to machine learning (ML). You don’t need any prior knowledge about ML to get the best out of this article. Before getting started, let’s address this question: "Is ML so important that I really need to read this post?"

Let's Code that Wicked Cool Calculator

by Rami Alshaar

Enhance your coding skills with a walkthrough on how to create a smart calculator with many features made in Python.

Lightning Detection with Deep Learning and Tensorflow on Android: Building UI with Android Studio

by Ruturaj Raval

In this article we walk through the basic setup of the model-based app in the Android environment.

Lightning Detection with Deep Learning and Tensorflow on Android: Setting Up a TFLite Model

by Ruturaj Raval

In this article we’ll set up the TFLite model in the Android environment and create a working demo application.

LINQ to Family Tree (Prolog Style)

by Hisham Abdullah Bin Ateya

Querying a family tree in LINQ fashion.

Live Lightning Detection with Deep Learning and Tensorflow on Android: Exploring the Outcome

by Ruturaj Raval

In this article we’ll go over the project outcome and put together some "lessons learned" for your future live detection tasks.

Live Lightning Detection with Deep Learning and Tensorflow on Android: Getting Started

by Ruturaj Raval

In this article series, we’ll demonstrate how to use AI to determine what’s going on in a live video stream by building a lightning detector that runs in realtime on an Android device.

Live Lightning Detection with Deep Learning and Tensorflow on Android: Real-time Testing

by Ruturaj Raval

In this article we’ll carry out real-time testing of our app.

Live Lightning Detection with Deep Learning and Tensorflow on Android: Training and Exporting Model

by Ruturaj Raval

In this article go through training a TF model with our curated dataset using Teachable Machine and export the trained model in the FTLite format.

Loading a TensorFlow Model with AI Hazard Detection on Android

by Joel Ivory Johnson

In this article of the AI Hazard Detection on Android series, we will add the TensorFlow Lite model to the project and prepare it for processing.

Loading CSV and SQL Data into Pandas

by Glenn Prince

In this second part of the Data Cleaning with Python and Pandas series, now that we have a Jupyter Notebook set up and some basic libraries initialized, we need to load some data. To do this, we’ll load data from a CSV file, as well as from a local SQLite database.

Logical Calculation with Tableaux

by Miguel Diaz Kusztrich

Demonstrate or refute a conclusion automatically from a series of premises

Logo Recognition System

by Ammar Albush 1997

Logo Recognition System Program written in C# .NET 6.0 Windows Form (Tensorflow.net,Tensorflow.keras,Emgu Cv,ScottPlot.WinForms,Newtonsoft.Json)

Machine Learning in Excel

by KristianEkman

A cell by cell walkthrough of the maths of a Neural network

Machine Learning on Intel® FPGAs

by Intel

Intel is uniquely positioned for AI development—the Intel’s AI Ecosystem offers solutions for all aspects of AI by providing a unified front end for a variety of backend technologies, from hardware to edge devices.

Machine Learning with ML.Net and C#/VB.Net

by Dirk Bahle

Solving the Classification problem with ML.Net Version 0.2.

Machine Reasoning in CAD Applictions

by Łukasz Bownik, Tomek Steclik

This article presents the use of inference engine to implement mechanisms that automatically detect design errors and generate design tips in CAD (Computer Aided Design) applications. The article discusses a number of implementation issues, that can be avoided by using an inference mechanisms. Th

Maintaining Performant AI in Production

by Intel

Building an MLOps Environment with the Intel® AI Analytics Toolkit, MLflow, and AWS

Make Your Own Tic Tac Toe Game

by CodeMaster9

This will help you make you're own advanced tic tac toe game

Making Keras Models Portable Using ONNX

by Keith Pijanowski

In this article I provide a brief overview of Keras for those looking for a deep learning framework for building and training neural networks

Making PyTorch AI Models Portable Using ONNX

by Keith Pijanowski

In this article I provide a brief overview of PyTorch for those looking for a deep learning framework for building and training neural networks.

Making TensorFlow Models Portable Using ONNX

by Keith Pijanowski

In this article, I provided a brief overview of TensorFlow 1.0 and TensorFlow 2.0 for those looking for a deep learning framework for building and training neural networks.

Man, Marriage and Machine – Adventures in Artificial Advice, part 2

by asheesh goja

‘Expert Systems’ is one of the most commercially successful application of Artificial Intelligence. This three part series describes how to develop an expert system based artificial advisor, using a backward reasoning algorithm.

Man, Marriage and Machine – Adventures in Artificial Advice, part 3

by asheesh goja

Market Recorder for Interactive Brokers

by Ryan Scott White

A tool that captures live market data for a set of symbols and saves them to 1-second snapshots in a SQL database.

Matrix Operations in Java

by Ata Amini

A set of static methods in Java that are critical in all mathematical calculations that involve matrices

Middleware in Game Development

by Android on Intel

Whether you are looking for an entire game engine to develop your idea into a game, or an efficient easy-to-use video codec to deploy full motion video, this list will guide you to the best middleware to use while developing your game for Intel® architecture.

More AI Traffic Speed Detection With TrafficCV

by Allister Beharry

In this article, we focus on developing a computer vision framework that can run the various Machine Learning and neural network models – like SSD MobileNet – on live and recorded vehicle traffic videos.

More Neural Network mathematics and code (C#)

by Lucas Allen

Running, Initializing and Training a Neural Network.

MultiClass Logistic Classifier in Python

by pi19404

Supervised ML algorithm for multi-class classification

Multilayer Perceptron in Python

by pi19404

About single-hidden layer MLP

Multi-Stage Docker Builds for AI Object Detection

by Jarek Szczegielniak

In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.

Mycroft, the Open Source Alternative to Siri or Alexa

by Intel

Intel® Software Innovator Joshua Montgomery, Karl Fezer, and Steve Penrod of the Mycroft team let me pick their brains to learn a bit more about Mycroft.

Naive Bayes Spam Classifier

by Vince Chan

A walkthrough of common machine learning tasks - by building a Naive Bayes Spam Classifier using python and scikit-learn

Naїve Bayesian Anti-Spam Filter Using Node.JS, JavaScript And Ajax Requests

by Arthur V. Ratz

In this article we’ll formulate and thoroughly discuss about probabilistic Bayesian classification algorithm and its implementation in Node.JS and JavaScript that can be actively used to detect and locate messages containing potential spam and other unsolicited data.

Neural Dot Net Pt 1 Introduction

by pseudonym67

A neural network library in C#.

Neuronal.NET - An Easy Implementation of Neuronal Networks

by D. Infuehr

How to implement a simple neuronal network into C#

NLTK and Machine Learning for Sentiment Analysis

by Jayson DeLancey

This article is the fifth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article we're building an optimized machine learning model.

Node.js on Azure: Building on Cloud Native Services with AI

by Raphael Mun

In this article we’ll explore some Azure Cognitive Services that bring the power of AI to any app through the cloud.

Notes on ML and TensorFlow: Linear Regression

by Ngọc Minh Trần

Diary of learning Machine Learning and TensorFlow

Number Recognition with MLP Neural Network

by mohammad farahi

English Number recognition with Multi Layer Perceptron Neural Network (MLP)

Nura Othello - A WTL Based Board Game

by PARK Youngho

An example of using the WTL library in an artificial intelligence game.

Object Detection with an IP Camera using Python and CodeProject.AI Server

by Chris Maunder

The first in a two-part series on detecting objects and evil rodents

Object Detection with an IP Camera using Python and CodeProject.AI Server, Part 2

by Chris Maunder

The second in a two-part series on detecting objects and evil rodents

Optical Character Recognition

by Vijay Rajan Nadar

Optimize your C# with Inline ASM via ATL and C++

by dzzxyz

Optimize your C# with Inline ASM via ATL and C++

Optimizing the AI Traffic Speed Detector

by Allister Beharry

In this article, we explore the different ways of measuring vehicle speed and the different Deep Learning models for object detection that can be used in our TrafficCV program.

Package Delivery Detection using CodeProject.AI Server and Blue Iris

by Sean Ewington

In this article, I download a custom model to detect packages, set up Blue Iris to detect the package, trigger an alert, and send an email notification that a package has arrived.

Person Detection with CodeProject.AI Server and Home Assistant

by Sean Ewington

In this article, I use CodeProject.AI Server, Agent DVR, and Home Assistant Container to detect when a person is in the camera's frame, start recording, then take a snapshot that gets sent to my phone with an alert.

Portable Neural Networks with ONNX

by Keith Pijanowski

This article is the first in a series of seven articles in which we will explore the value of ONNX with respect to three popular frameworks and three popular programming languages.

Powering Intelligent Apps with a Multi-Model Database Using Azure Cosmos DB and Azure Kubernetes Service

by Cloud Native Apps Team

In topic 2 of our series, we explore the power of multi-model databases for Intelligent Apps and their integration with Azure Cosmos DB and Azure Kubernetes Service (AKS).

Preparing a Dataset for AI Face Recognition

by Arnaldo P. Castaño

In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.

Preparing a Deep Learning Environment for COVID-19 Diagnosis

by Abdulkader Helwan

In this article, we’ll discuss materials and methods for this project.

Preparing Data for AI Fashion Classification

by Abdulkader Helwan

In this article we’ll show you how to use transfer learning to fine-tune the VGG19 model to classify fashion clothing categories.

Preparing Data for AI Image Classification on iOS

by Jarek Szczegielniak

In this article we’ll start data preparation for this new, custom model, to be later trained using the Create ML framework.

Preparing Dataset

by Sergey L. Gladkiy

In this article we’ll create the training dataset for our pest of choice: The moose.

Preparing Hardware for AI Traffic Speed Detection

by Allister Beharry

In this article, we’ll go through installation of the operating system on the Pi, securing it, and configuring it for remote access over WiFi.

Preparing Images for AI Model Training

by Sergio Virahonda

In this article we prepare a face mask images for our AI model training.

Preparing Images for Object Detection With OpenCV and ImageAI

by Glenn Prince

In this article, we train our own custom model to detect if people are wearing hardhats.

Preparing the Path for Intelligent Apps: Transitioning from On-Premises/IaaS to Cloud-Native Applications

by Cloud Native Apps Team

Check out this article of our series on intelligent apps to learn best practices for transitioning your on-premises or IaaS solutions to intelligent apps.

Preprocessing Time Series Data for AI Forecasting and Anomaly Detection

by Sergio Virahonda

In this article, we learn how to prepare time series data to be fed to machine learning (ML) and deep learning (DL) models.

Pre-Trained AI Emotion Detection With face-api and Tensorflow.js

by MehreenTahir

In this article we use another pre-trained model, face-api.js, to detect expressions without doing any training ourselves.

Prolog for .NET Developers

by Dan Buskirk

First contact with Prolog programming for .NET and Mono Developers

Propagation of Constraints

by JorgeLuisOrejel

Propagation of constraints

Pros and Cons of NLTK Sentiment Analysis with VADER

by Jayson DeLancey

This article is the fourth in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this and additional articles, we’re going to try and improve upon our approach to analyzing the sentiment of our communities.

Protecting Financial Services Using Cloud AI with SAP HANA and Amazon SageMaker

by Robert_Dyball

Amazon Sage Maker and SAP HANA together provide a powerful set of tools that could be used to help protect investors, lenders and borrowers in financial services industry.

Python AI and Machine Learning Libraries

by Thomas Daniels

In this article we can take a look at what libraries are available to work on AI and ML tasks.

Python Basics for Machine Learning and AI

by Thomas Daniels

This article provides some tips for experienced programmers to get up to speed with the basics of Python.

Python Generators and Classes

by Thomas Daniels

In this article we go a bit further with generators and classes.

Python Tuples, Lists, Destructuring, and Loops

by Thomas Daniels

Now that you know some of the basics of Python we can go a bit deeper, with the lists and tuples data structures and see how to work with them.

Read Sales Receipts And Extract Details Using Pre-Built ML Model - Azure Cognitive Services

by Shweta Lodha

Ways to extract information from sales receipt and detailed demonstration of how to use pre-built ML models

Real Programmers Don't Use PASCAL

by Leo Moll

Very humorous historical text about the art of programming computers

Real-Time AI Emotion Detection from a Webcam With TensorFlow.js

by MehreenTahir

In this will article extend our model to do custom classification in real time using a webcam.

Real-time AI Person Detection on Edge Devices: Detecting Persons on Video

by Sergey L. Gladkiy

In this article we’ll develop Python code for person detection in a video stream.

Real-time AI Person Detection on Edge Devices: Detecting Persons on Video in Real-time Mode

by Sergey L. Gladkiy

In this article, we’ll modify the code for real-time processing on an edge device.

Real-time AI Person Detection on Edge Devices: Detecting Persons Using Pre-trained SSD Models

by Sergey L. Gladkiy

In this article, we’ll showcase the Python code for launching these models and detect humans in images.

Real-time AI Person Detection on Edge Devices: Getting Started

by Sergey L. Gladkiy

This is the first in an article series where we’ll show you how to detect people in real time (or near-real time) on Raspberry Pi.

Real-time AI Person Detection on Edge Devices: Launching SSD on Raspberry Pi

by Sergey L. Gladkiy

In this article, we’ll see how you can install Python-OpenCV on the device and run the code.

Real-time AI Person Detection on Edge Devices: Selecting Deep Learning Models

by Sergey L. Gladkiy

In this article, we’ll discuss the pros and cons of the existing DNN approaches and select a pre-trained model for further experimentation.

Real-time AI Person Detection on Edge Devices: Testing SSD Models on Raspberry Pi

by Sergey L. Gladkiy

In this article, we’ll test the accuracy and the performance of the MibileNet and SqueezeNet models on the Raspberry Pi device.

Real-time AI Pest Elimination on Edge Devices: Getting Started

by Sergey L. Gladkiy

In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.

Real-Time Face Tracking in the Browser with TensorFlow.js

by Raphael Mun

In this series, we’re going to show you how to create Snapchat-style filters in the browser using Tensorflow.js and face tracking.

Real-Time Facial Emotion Detection with Webcam in the Browser UsingTensorFlow.js

by Raphael Mun

In this article which we;ll use the live webcam video of our face and see if the model can react to our facial expressions in real time.

Recognizing Programming Languages using a Neural Network (C#)

by Thomas Daniels

This article describes how to use a neural network to recognize programming languages, as an entry for CodeProject's Machine Learning and Artificial Intelligence Challenge.

Recommendation Engine

by billschreiber111

This article describes a recommendation engine or collaborative filter that is written in C#.

Recursive methods using C#

by Shahin Khorshidnia

For beginners, Recursive introduction, Examples, Benefits and Defects. A part of Data structure.

Reimagining Application Development with AI: A New Paradigm

by Cloud Native Apps Team

In the part of our series on intelligent apps, we’ll explore how AI is transforming application development, from design and architecture to building.

Reshaping Data in a Pandas DataFrame

by Glenn Prince

In this sixth part of the Data Cleaning with Python and Pandas series, we look at a few of the simpler methods for combining data.

Restructuring ResNet50 to Diagnose COVID-19

by Abdulkader Helwan

In this article, we’ll work on restructuring ResNet50 to perform the new classification task.

Reversi

by Zdravko Krustev

An implementation of the popular game Reversi, written as a project for an AI course.

Rotating Sprite Objects on DirectDraw Wrapper for C#

by Sergio Mach

Evaluate C# on delivering more than 1000 animated sprites on fullscreen 1280x1024.

Running AI Fashion Classification on Real Data

by Abdulkader Helwan

In this article we evaluate VGG19 using real images taken by a phone camera.

Running CodeProject.AI Server on a Raspberry Pi

by Chris Maunder

Building, running and debugging CodeProject.AI Server on a Raspberry Pi

Running Face Recognition on Kubernetes

by Sergey L. Gladkiy

In this next article of the series, we’ll show how to run the face recognition servers on Kubernetes.

Scaling to Meet the Growing Needs of AI

by Intel

Intel’s new Deep Learning tools (with the upcoming integration of Nervana’s cloud stack) are designed to hide/reduce the complexity of strong scaling time-to-train and model deployment tradeoffs on resource-constrained edge devices without compromising the performance need.

Self-Hosted Artificial Intelligence: Keeping Control of Your Data

by Chris Maunder

In this article we will explore how self-hosted AI, specifically CodeProject.AI Server, empowers businesses to leverage the power of AI while maintaining control over their data.

Serverless Development Experience for Embedded Computer Vision

by Miguel Angel Cabrera Miñagorri

Learn to create real-time computer vision applications with a couple of Python functions and a model URI.

Setting up a Deep Learning Machine on Azure from the App Marketplace

by DataBytzAI

Using a pre-configured environment on Azure to create a "ready to go" Deep Learning machine

Setting Up a Development Environment for AI Traffic Speed Detection

by Allister Beharry

In this article, we set up a development environment on Windows 10 for cross-platform computer vision and machine learning projects to run on our Pi device.

Setting Up an Android AI Development Environment

by Joel Ivory Johnson

This is the first in a series of articles on using TensorFlow Lite on Android to bring the power of machine learning and deep neural networks to mobile application

Setting Up and Running the "Misty Reads" Skill with Microsoft Azure

by Chris_Meyer

Using Azure, teach Misty to read text extracted from an image, and then return an encoded .wav file that she can save and play.

Setting up macOS for ML and AI Development

by Jarek Szczegielniak

In this article we prepare our development environment.

SharpMoku a Gomoku/Five in a Row Written in C#

by KrirkDev

This is an article about how to create a Gomoku program with an AI in C#.

Soccer Field Strategy - Using SAP HANA and Amazon Sagemaker

by @Abdul Azeez Thekkekandy

This article describes how AI can be utilized to make a better team strategy from Manager (or Team Coach) in a live soccer game by utilizing SAP HANA and Amazon Sagemaker capabilities together.

Solve Maze Problem (Tortuous Game)

by hosein fereidooni

This article solves a maze problem with Informed Search

Solving Real-World Problems with Self-Hosted AI: Unleashing the Potential in Your Applications

by Chris Maunder

Discover the fundamentals of artificial intelligence (AI) and how it can revolutionize your business. Learn about the benefits, applications, and practical use cases to ignite your curiosity

Solving Sudoku

by hosein fereidooni

Solving Sudoku using Informed Search Algorithms

SophiaBot: creating a talking artificial personality with Vista Speech Recognition API

by James Ashley

An application that plays word games to demonstrate the SAPI capabilities of Vista and the .NET 3.0 Framework.

Spam Detection Using Long Short-Term Memory (LSTM) Neural Networks with Deeplearning4j

by Diego Stéfano

Spam detection in Scala using Deeplearning4j.

SQL Optimizer for Visual Studio: Automatically make your queries faster using this extension from Quest Software

by Daniel Wood

Learn how changing the way you write queries can make them run faster. This article will describe the automated approach to optimizing SQL. DBA's have been doing it for years, now it's available for developers.

Starting with Keras.NET in C# - Train Your First Model

by Garretenion

In this article, I want to show an example to make a simple .NET-Core App using Keras.NET and Zalandos Fashion-mnist.

Stock Predictions through News Sentiment Analysis

by Intel

There are many techniques to predict the stock price variations, but in this project, New York Times’ news articles headlines is used to predict the change in stock prices.

Streamline PyTorch with Intel OpenVINO™ integration with Torch-ORT

by Intel

OpenVINO integration with Torch-ORT gives PyTorch developers the ability to stay within their chosen framework all the while still getting the speed and inferencing power of OpenVINO™ toolkit through inline optimizations used to accelerate your PyTorch applications.

Streamline Your MLOps Journey with CodeProject.AI Server

by Chris Maunder

Use CodeProject.AI Server to simplify your MLOps by providing a self-hosted, open source solution with easy installation, support for any language or framework, and built-in management of AI modules

Strings UNDOCUMENTED

by Wesner Moise

Detailed looked at the implementation of strings in .NET

Sudoku puzzle Solver

by Sreram K

This explains the working of a program that solves Sudoku puzzles.

Sudoku using Microsoft Solver Foundation

by Atalia Beukes

An example of how to use Microsoft Solver Foundation on a constraint satisfaction problem.

Supporting long operations in CodeProject.AI Server modules in Python

by Chris Maunder

This article will show you how to create a module for CodeProject.AI Server that wraps some code that takes a long time to complete

Tagaki Sugeno Fuzzy System Implementation in C#

by Matthias Reichenbach

Simple API to define your own Fuzzy System in C# based in the Tugaki-Sugeno Fuzzy System

Taking Intelligent Apps to the Next Level: Implementing Advanced Features with Azure Machine Learning: Part 1

by Cloud Native Apps Team

In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this third part, you’ll explore how to level up your Intelligent Apps by training a custom model using your own dataset.

Taking Intelligent Apps to the Next Level: Implementing Advanced Features with Azure Machine Learning: Part 2

by Cloud Native Apps Team

In this four-part series, you’ll learn how to create an Intelligent App with Azure Container Apps. In this fourth and final part, you’ll explore how to integrate a custom model into your Intelligent Apps, enhancing the application’s features with specialized AI.

Teaching a Robot to Walk with AI - Introduction to Continuous Control Environments

by philoxenic

In this article, we set up with the Bullet physics simulator as a basis for doing some reinforcement learning in continuous control environments.

Teaching a Robot to Walk with AI and PyBullet Environments

by philoxenic

In this article, we look at two of the simpler locomotion environments that PyBullet makes available and train agents to solve them.

Technical Detection of Violent Threats in Social News Posts in Near Real-Time

by Allister Beharry

NewsAlpha is a social news analyzer running on Microsoft Azure which aggregates and analyzes social news posts across different Internet forums and social media sites looking for threats of violence or self-harm in near real-time.

TensorFlow Optimizations on Modern Intel® Architecture

by Intel

This paper introduces the Artificial Intelligence (AI) community to TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms.

TensorFlow Tutorial 2: Opening a Jupyter Notebook

by CodeProject

TensorFlow Tutorial 3: Importing Data

by CodeProject

TensorFlow Tutorial 4: Creating a Neural Net

by CodeProject

TensorFlow Tutorial 5: Running the Neural Net

by CodeProject

Test Driven Chess Artificial Intelligence

by KristianEkman

Chess engine and simple chess user interface

Text Mining and its Business Applications

by Niladri_Biswas

Text Mining and its Business Applications

The Game of Clue (C# 2010)

by Christ Kennedy

You are a suspect!

The Internet of Things—Analytics: Using the Intel® IoT Analytics Website for Data Mining

by Intel

Using the Intel® IoT Analytics Website for Data Mining

The Math behind Neural Networks: Part 2 - The ADALINE Perceptron

by Serge Desmedt

A try it yourself guide to the basic math behind ADALINE perceptron

The Not-so-classic Spam Filter

by Kornfeld Eliyahu Peter

The Machine Learning and Artificial Intelligence Challenge

Thinking, Consciousness and a Model of Intelligence

by Adrian Pirvu

Neural Patterns model for new thinking machines

Three Approaches for Machine Learning

by Mosi_62

Logistic regression, back propagation and support vector machine in comparison on the Iris data set

Tic Tac Toe Using AI –The Easy Way

by George Swan

A simple invincible implementation of Tic Tac Toe

Tickr: Create your own Flickr Diashow

by kristofleroux

Create your own flickr diashow

TicTacToe - MiniMax Without Recursion

by Christ Kennedy

An exhaustive search of all game-states used to trace Mini-Max decisions from End game up through to Start game

Tides of Time Bot and Game – Application of Minimax (with Alpha Beta Pruning)

by Oana Mancu

Any deterministic game can be broken down to its core functionalities. By understanding them, one can implement fundamental algorithms such as Minimax (with alpha beta pruning), thus paving the way towards a better AI opponent.

Tigers and Goats: An Interesting AI Game in Javascript and HTML5

by Saman Saeedi

A code sample to explore adversarial search algorithms

Time Series Analysis in C#.NET: Part II

by Jeff B. Cromwell

Granger Causality in both R and C#.NET with open source libraries.

Tools for Building AI Language Translation Systems

by Martin_Rupp

Tools and software required to build a DL-based automatic translation system

Training a Custom Model with OpenCV and ImageAI

by Glenn Prince

In this article, we begin the process of creating a custom object detection model.

Training a DNN

by Sergey L. Gladkiy

In this article, we’ll discuss training our DNN classifier with the augmented dataset.

Training a Humanoid AI Robot to Run Backwards

by philoxenic

In this article we will try to train our agent to run backwards instead of forwards.

Training a Humanoid AI Robot to Run With a Custom Model

by philoxenic

In article in this series we will look at even deeper customisation: editing the XML-based model of the figure and then training the result.

Training a Humanoid AI Robot to Walk Using Proximal Policy Optimisation (PPO)

by philoxenic

In this article in the series we start to focus on one particular, more complex environment that PyBullet makes available: Humanoid, in which we must train a human-like agent to walk on two legs.

Training a Humanoid AI Robot to Walk With Soft Actor Critic (SAC)

by philoxenic

In this article we will adapt our code to train the Humanoid environment using a different algorithm: Soft Actor-Critic (SAC).

Training a YOLOv5 Model for Face Mask Detection

by Sergio Virahonda

In this article, we’re going to use the dataset to train a YOLOv5 object detection model.

Training and Running a GAN for Fashion Design Generation

by Abdulkader Helwan

In this article we show you how to train the GAN for fashion design generation.

Training Your Own TensorFlow Neural Network For Android

by Joel Ivory Johnson

In this article we will generate output from a program will provide a TensorFlow freeze graph ready to be used or converted to TensorFlow Lite.

Transforming Data into Insights: The Art of Machine Learning

by Chris Maunder

Dive into the world of machine learning and explore how it empowers businesses to extract valuable insights from vast amounts of data. Discover practical techniques and tools for successful implementation.

Triangle Peg Solitaire

by Asha Desai

This program allows you play Solitaire puzzle also known as Peg Solitaire Puzzle.

Truly Understanding Decision Trees and the C4.5 Algorithm through their Implementation in C#

by Nicolas DESCARTES

How to implement decision trees in C#?

Truly Understanding Neural Networks through their Implementation in C#

by Nicolas DESCARTES

How to implement neural networks in C#?

Understanding Vector Databases

by Nicolas DESCARTES

What are vector databases?

Unicode Optical Character Recognition

by Daniel Admassu

The Project is an optical character recongnition application using artificial neural networks.

Unleashing Business Transformation: How Digital Natives Can Leverage Generative AI

by Cloud Native Apps Team

This article explores how digital natives and Independent Software Vendors (ISVs) can transform their business operations and generate higher value for customers with generative AI and intelligent apps.

Use Fusion Development to Level Up AI Apps Part 1: Building the Power App

by Sander Rossel

In this article, we create a simple Power App to upload (or delete) images in Dataverse, just like a citizen developer.

Use Fusion Development to Level Up AI Apps Part 2: Integrating with Form Recognizer

by Sander Rossel

In this article, we create an Event Hub that Dataverse can send an event to when a new image is uploaded.

Use Fusion Development to Level Up AI Apps Part 3: Using AI-Processed Form Data

by Sander Rossel

In this article we’ll send the results from the Form Recognizer back to Dataverse so we can use them in our Power App.

Using an ONNX Neural Network Model with TensorFlow Lite on Android

by Joel Ivory Johnson

In this article we will take a pre-trained neural network and adapt it for use in TensorFlow Lite.

Using Cloud AI for Sentiment Analysis

by Jayson DeLancey

This article is the seventh in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article we look at some alternatives to VADER.

Using CodeProject.AI Server with Blue Iris

by Matthew Dennis

Integrating CodeProject.AI Server with the Blue Iris video security and webcam system

Using Docker for Facial Identification

by Sergey L. Gladkiy

In this article we create a Docker container for this system.

Using Portable ONNX AI Models in C#

by Keith Pijanowski

In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.

Using Portable ONNX AI Models in Java

by Keith Pijanowski

In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.

Using Portable ONNX AI Models in Python

by Keith Pijanowski

In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.

Using Pretrained Models to Detect People With OpenCV and ImageAI

by Glenn Prince

In this article, we'll have a look at some of the pretrained models we can use in ImageAI to start detecting people in images.

Using Pre-trained VADER Models for NLTK Sentiment Analysis

by Jayson DeLancey

This article is the third in the Sentiment Analysis series that uses Python and the open-source Natural Language Toolkit. In this article, we'll look at techniques you can use to start doing the actual NLP analysis.

Using TensorFlow Lite Results with AI Hazard Detection on Android

by Joel Ivory Johnson

In this entry of the AI Hazard Detection on Android series we will interpret the results and provide the relevant information to the user.

Using the Live Camera with AI Hazard Detection on Android

by Joel Ivory Johnson

In the next part of the AI Hazard Detection on Android series, we’ll have the application process live data.

Vehicle Detection with TrafficCV

by Allister Beharry

In this article, we have a look at the details of the TrafficCV implementation and the various object detection models to use for detecting vehicles and calculating their speed.

Visualizing TensorFlow Lite AI Results on Android

by Joel Ivory Johnson

In the previous installation of this series, a TensorFlow Lite interpreter had examined an image and produced its output. In this article we learn how to interpret these results and create visualizations for them.

Wearable Chess (Conquering Android Wear, Part 1)

by Mitchell J.

Introducing Wearable Chess - a complete, open-source chess app for Android Wearables!

Web API for Face Recognition

by Sergey L. Gladkiy

In this article, we’ll wrap the face identification model in a simple Web API, create a client application on the Raspberry Pi, and run the client-server system.

What is Internet of Things, what are wearables and how do they interact to make things better

by Afzaal Ahmad Zeeshan

What are the wearable devices and what is the role of Internet of Things in them and how do they interact to make things better and easy.

What is the Intel® Software Innovator Program? A Quick Look

by Intel

Intel created this program in order to build relationships with software developers out in the real world creating everything from interactive virtual reality games to new devices to assist people with disabilities.

What's That Tune? - Mashing up Three Web Services

by awseditor

What's That Tune? is a light-hearted mashup of three web services in C#. This proof-of-concept records audio from a microphone, saves it to Amazon S3, creates a task for workers to name the tune using Amazon Mechanical Turk, then polls Amazon ECS for related albums.

Why Real Neurons Learn Faster

by Adrian Pirvu

A closer look into differences between natural nervous systems and artificial neural networks

Why Use AI for Traffic Speed Detection?

by Allister Beharry

This article series will show you how to build a reasonably accurate traffic speed detector using nothing but Deep Learning, and run it on an edge device like a Raspberry Pi.

Why Use AI on Time-Series Data?

by Sergio Virahonda

This series of articles will guide you through the steps necessary to develop a fully functional time series forecaster and anomaly detector application with AI.

WPF: A* search

by Sacha Barber

An AI search application using the A* algorithm.

Writing a Multiplayer Game (in WPF)

by Paulo Zemek

This article will explain some concepts of game development and how to apply and adapt them for multiplayer development.

XNA Snooker Club

by Marcelo Ricardo de Oliveira

WCF-enabled multi-player XNA game for the Windows platform.

You've Got Spam

by Peter Leow

Design and implement a simple AI agent that can learn and fight the relentless spam plague.