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Artificial Intelligence

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by CodeProject
Version 2.6.5. Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language
by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
by hzhou
A C# implementation of bucket elimination algorithm for inference in belief networks.

Latest Articles

by CodeProject
Version 2.6.5. Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language
by Chris Maunder
A registry for downloadable modules for installation in CodeProject.AI Server
by ADemontis
An overview on how to interrogate Dall-E in VB.NET
by Gareth Richards
An implementation of the Neural Network backpropagation learning algorithm in C++ using the BLAS proposal in P1673.

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Artificial Intelligence 

15 Mar 2021 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.
16 Mar 2021 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.
17 Mar 2021 by Abdulkader Helwan
In this article we show you how to train VGG19 to recognize what people are wearing.
18 Mar 2021 by Abdulkader Helwan
In this article we evaluate VGG19 using real images taken by a phone camera.
19 Mar 2021 by Abdulkader Helwan
In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.
22 Mar 2021 by Abdulkader Helwan
In this article we show you how to train the GAN for fashion design generation.
12 Feb 2021 by Abdulkader Helwan
In this article, we introduce transfer learning and ResNet50.
16 Feb 2021 by Abdulkader Helwan
In this article, we’ll discuss materials and methods for this project.
17 Feb 2021 by Abdulkader Helwan
In this article, we’ll work on restructuring ResNet50 to perform the new classification task.
18 Feb 2021 by Abdulkader Helwan
In this article, we’ll fine-tune our ResNet50 model.
19 Feb 2021 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.
22 Feb 2021 by Abdulkader Helwan
In this article, we’ll show you how to build a network for Covid-19 detection from scratch.
7 Aug 2016 by Grasshopper.iics, Abhishek Nandy
High level IOT Co2 emission simulation.
20 Dec 2017 by Adrian Pirvu
Neural Patterns model for new thinking machines
21 Jan 2019 by Adrian Pirvu
A closer look into differences between natural nervous systems and artificial neural networks
15 Jul 2019 by Adrian Pirvu
A Roadmap to Intelligence
5 Sep 2019 by Adrian Pirvu
Creation of sentient agents
19 Oct 2014 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.
13 Jan 2021 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.
14 Jan 2021 by Allister Beharry
In this article, we select hardware components for our AI/Pi-based solution and assemble them into a functional system.
15 Jan 2021 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.
18 Jan 2021 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.
19 Jan 2021 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.
20 Jan 2021 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.
27 Jan 2021 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.
22 Jan 2021 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.
14 Oct 2019 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.
28 Mar 2023 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)
16 May 2007 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.
15 Oct 2006 by Andrew Kirillov
The articles describes a C# library for evolution computations and their application for several problems solving.
28 Sep 2018 by Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
28 Oct 2018 by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
22 Mar 2019 by Apriorit Inc, Vadym Zhernovyi
Learn more about the challenges we faced with dataset preparation and network configuration, and how these problems can be solved.
19 Oct 2018 by Apriorit Inc, KonstantinovSlava
Two ways of performing object recognition using OpenCV and comparing them to each other. Both approaches have their own pros and cons. This comparison will help to choose the best one for your task.
31 Jul 2020 by Arnaldo P. Castaño
In this article, we go over the steps to detect faces in an image.
4 Aug 2020 by Arnaldo P. Castaño
In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.
5 Aug 2020 by Arnaldo P. Castaño
In this article we’ll put together our CNN and train it for face recognition.
6 Aug 2020 by Arnaldo P. Castaño
In this article we’ll adapt the VGG16 model.
7 Aug 2020 by Arnaldo P. Castaño
In this article we focus on the Text-to-Speech with the use of Deep Learning.
2 Nov 2020 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.
3 Nov 2020 by Arnaldo P. Castaño
In the next article, we will preprocess a dataset to be inputted to a machine learning model.
4 Nov 2020 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.
6 Nov 2020 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.
6 Nov 2020 by Arnaldo P. Castaño
In this article we will examine the CNN we implemented for coin recognition using Keras.NET.
9 Nov 2020 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.
6 Mar 2018 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.
11 Mar 2018 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.
19 Oct 2005 by asef
Using Genetic Algorithm to solve the 8 Queens problem.
22 Oct 2011 by Asha Desai
This program allows you play Solitaire puzzle also known as Peg Solitaire Puzzle.
13 Apr 2011 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.
20 Jul 2015 by Ashkan Pourghasem
Hands on tutorial of implementing batch gradient descent to solve a linear regression problem in Matlab
15 Dec 2021 by asiwel
Bezier Curve Classification Training And Validation Models Using ALGLIB
26 May 2014 by Atalia Beukes
An example of how to use Microsoft Solver Foundation on a constraint satisfaction problem.
11 Dec 2023 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.
12 Dec 2023 by Benjamin Consolvo
This article discusses the application of Stable Diffusion models in generative AI, focusing on image generation from text prompts.
13 Dec 2023 by Benjamin Consolvo
This article explores the use of Large Language Models (LLMs) in various applications, such as chatbots, code generation, and debugging.
11 Apr 2008 by Carlos Jiménez de Parga
A wrapper class library for the DirectMusic MIDI.
23 Dec 2014 by César de Souza
Demonstration of automatic image stitching by interest point matching using the Accord and AForge.NET Frameworks
22 Apr 2022 by Chris Maunder
Adding AI to your applications doesn’t have to be all about fighting the tools and libraries
8 Nov 2023 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
17 Oct 2022 by Chris Maunder
The first in a two-part series on detecting objects and evil rodents
U 21 May 2024 by Chris Maunder
A registry for downloadable modules for installation in CodeProject.AI Server
10 Aug 2023 by Chris Maunder
Building, running and debugging CodeProject.AI Server on a Raspberry Pi
23 May 2023 by Chris Maunder
The second in a two-part series on detecting objects and evil rodents
8 Nov 2023 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.
13 Nov 2023 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
13 Nov 2023 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.
13 Nov 2023 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
13 Nov 2023 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
15 Feb 2024 by Chris Maunder
The full walkthrough of a bare bones module for CodeProject.AI using Python
4 Apr 2024 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
17 Nov 2009 by Christ Kennedy
KOEI-like old-school war game and battlefield simulator, with infantry, artillery, and cavalry units.
19 Sep 2023 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.
19 Sep 2023 by Cloud Native Apps Team
Explore real-world examples of how Intelligent Apps revolutionize logistics, retail, finance, manufacturing, tech, and medicine
20 Sep 2023 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.
21 Sep 2023 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.
22 Sep 2023 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.
25 Sep 2023 by Cloud Native Apps Team
Prepare your organization to adopt intelligent apps by taking a change management approach.
17 Oct 2023 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).
20 Oct 2023 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.
23 Oct 2023 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.
24 Oct 2023 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.
25 Oct 2023 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.
U 27 May 2024 by CodeProject
Version 2.6.5. Our fast, free, self-hosted Artificial Intelligence Server for any platform, any language
6 Jan 2012 by Dan Colasanti
This is a port of Invasion (originally posted on CodeProject by Mauricio Ritter) to Windows Phone 7 (with some enhancements).
5 Feb 2014 by Dan Colasanti
This article describes my experience porting Invasion from XNA/WP7 to MonoGame/WP8 and includes Invasion's complete source code.
23 Aug 2006 by Daniel Admassu
The Project is an optical character recongnition application using artificial neural networks.
26 Aug 2020 by DaveMathews
Automated Chat bot agent in an ASP.NET website that does not depend on any external API services
2 Dec 2020 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.
3 Dec 2020 by Dawid Borycki
In this article, we will learn how to add annotations to images.
4 Dec 2020 by Dawid Borycki
In this article, we will use drawing functions to depict detected objects.
7 Dec 2020 by Dawid Borycki
In this article, we continue learning how to use AI to build a social distancing detector.
8 Dec 2020 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.
9 Dec 2020 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.
10 Dec 2020 by Dawid Borycki
In this article, we will use those centers to estimate distances between people and indicate people that are too close.
11 Dec 2020 by Dawid Borycki
In this last article of the series, we improve our Python console application for AI-powered social distancing detection.
28 Jun 2018 by Dirk Bahle
Solving the Classification problem with ML.Net Version 0.2.
14 Dec 2018 by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
10 Nov 2003 by dzzxyz
Optimize your C# with Inline ASM via ATL and C++
11 Jun 2007 by Elagizy
This guide helps you how to program your own chat bot.
8 Sep 2015 by Emiliano Musso
Basics of implementing a neural network in VB.NET
9 Sep 2017 by Gamil Yassin
Part 1 of a series of articles demonstrating .NET AI library from scratch
9 Sep 2017 by Gamil Yassin
This is a series of articles demonstrating .NET AI library from scratch
16 Sep 2017 by Gamil Yassin
Perceptron, when to use it and sample code
17 Sep 2017 by Gamil Yassin
Part 4 of a series of articles demonstrating .NET AI library from scratch
14 Apr 2017 by Ganesan Senthilvel
Exploring the concepts of Artificial Intelligence
13 Sep 2013 by geoyar
Applying Ant Colony Optimization algorithms to solve the Traveling Salesman Problem.
29 May 2020 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.
4 Jun 2020 by Glenn Prince
In this article, we'll set up everything we need to build a hardhat detector with OpenCV.
5 Jun 2020 by Glenn Prince
In this article, we create an object detection model.
8 Jun 2020 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.
9 Jun 2020 by Glenn Prince
In this article, we train our own custom model to detect if people are wearing hardhats.
10 Jun 2020 by Glenn Prince
In this article, we begin the process of creating a custom object detection model.
11 Jun 2020 by Glenn Prince
This article gives you a good starting point for your own object detection projects.
29 May 2020 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.
29 May 2020 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.
29 May 2020 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.
29 May 2020 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
29 May 2020 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.
29 May 2020 by Glenn Prince
In this seventh part of the Data Cleaning with Python and Pandas series, we can explore our visualization options.
29 Mar 2006 by Gonzales Cenelia
7 Aug 2016 by Grasshopper.iics, Abhishek Nandy
High level IOT Co2 emission simulation.
23 Apr 2024 by Hatem Mostafa
Artificial Neural Network C++ class with two use cases: Counter and Handwritten Digits recognition
11 May 2020 by Huseyin Atasoy
An image classifier / tagger based on convolutional neural networks. Now more than 10 times faster with the Intel MKL support.
6 Dec 2002 by hzhou
A C# implementation of bucket elimination algorithm for inference in belief networks.
18 Dec 2023 by Intel
Democratizing Access to Large Language Models
18 Dec 2023 by Intel
Leveraging Open-Source AI Technologies with Red Hat OpenShift Data Science and Intel® Architecture
18 Dec 2023 by Intel
Optimizing Large Language Models on Intel® Xeon® Processors with Intel® Advanced Matrix Extensions (Intel® AMX)
30 Mar 2007 by James Ashley
An application that plays word games to demonstrate the SAPI capabilities of Vista and the .NET 3.0 Framework.
21 Jan 2010 by James Wucher
Examples of embedding the Iron Python engine in a C# form application.
23 Apr 2021 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.
26 Apr 2021 by Jarek Szczegielniak
In this article, we’ll start applying our basic Docker knowledge while creating and running containers in the various MLng scenarios.
18 May 2021 by Jarek Szczegielniak
In this article we run inference on sample images with TensorFlow using a containerized Object Detection API environment.
19 May 2021 by Jarek Szczegielniak
In this article we run an inference model for NLP using models persisted on a Docker volume.
20 May 2021 by Jarek Szczegielniak
In this article, we’ll modify our code to expose the same logic via a Rest API service.
21 May 2021 by Jarek Szczegielniak
In this article we use Visual Studio Code to edit and debug our increasingly complex code running inside a Docker container.
25 May 2021 by Jarek Szczegielniak
In this article, we publish our NLP API service to Azure using Azure Container Instances.
21 Nov 2020 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.
23 Nov 2020 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.
24 Nov 2020 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.
25 Nov 2020 by Jarek Szczegielniak
In this article we are ready to include detection decoding directly in the Core ML model.
26 Nov 2020 by Jarek Szczegielniak
In this article we’ll create a Core ML pipeline to be our end-to-end model.
27 Nov 2020 by Jarek Szczegielniak
In the next article, we’ll start working on the iOS application that will use that model.
30 Nov 2020 by Jarek Szczegielniak
In this last article in this series, we’ll extend the application to use our YOLO v2 model for object detection.
16 Oct 2012 by JeffHeaton
Use Encog genetic algorithms, simulated annealing, neural networks and more with HTML5 Javascript.
14 Feb 2004 by JoeSox
Basic concepts in Intelligent Agent programming.
30 Aug 2003 by JoeSox
Unique Jungian and MBTI approach to develop Human Artificial Intelligence
26 Sep 2001 by Konstantin Boukreev
An example of using Genetic Algorithms for solving the Traveling Salesman Problem
4 Jan 2024 by KrirkDev
This is an article about how to create a Gomoku program with an AI in C#.
13 Nov 2013 by Nish Nishant, Marcelo Ricardo de Oliveira, Kunal Chowdhury «IN», Monjurul Habib, 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.
23 Jun 2014 by lessthanoptimal
Introduction to and an example of how to use BoofCV
12 May 2021 by LOST_FREEMAN
Hands-on data science competition with TensorFlow on .NET
4 Feb 2011 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
7 Dec 2021 by Mahsa Hassankashi
Deep learning convolutional neural network by tensorflow python, complete and easy understanding
3 Jan 2008 by Marc Clifton
An overview of Microsoft's Parallel FX initiative, including the Task Parallel Library and PLINQ.
13 Nov 2013 by Nish Nishant, Marcelo Ricardo de Oliveira, Kunal Chowdhury «IN», Monjurul Habib, 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.
8 Mar 2010 by Marcelo Ricardo de Oliveira
WCF-enabled multi-player XNA game for the Windows platform.
25 Jun 2014 by Marla Sukesh
In this article we will learn basics about DW, BI, SSIS and ETL Process
28 Dec 2015 by Marla Sukesh
In this article we Learn step by step how to create project with MSBI.
31 Jan 2022 by Matthew Dennis
Integrating CodeProject.AI Server with the Blue Iris video security and webcam system
4 Apr 2024 by Matthew Dennis
Create a ChatGPT-like AI module for CodeProject.AI Server that handles a long-running process.
5 Oct 2008 by Matthias Reichenbach
Simple API to define your own Fuzzy System in C# based in the Tugaki-Sugeno Fuzzy System
21 Jun 2007 by MattsterP
This article describes how to build an AI Chatterbot using a popular, Regular Expression-based open source Chatterbot engine: Verbots
28 Sep 2018 by MehreenTahir
This article will help you build different types of basic recommendation systems using Python.
26 Oct 2020 by MehreenTahir
This is the first in an article series where we’re going to show how to make an AI queue length detector.
27 Oct 2020 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.
28 Oct 2020 by MehreenTahir
In this article, we will train a deep learning model to detect and count the number of people in a given area.
29 Oct 2020 by MehreenTahir
In this article we will compare training our models from scratch with more advanced and pre-trained approaches like YOLO.
30 Oct 2020 by MehreenTahir
In this we’ll see if we can implement YOLO on video feeds for queue length detection.
27 Dec 2023 by Miguel Angel Cabrera Miñagorri
Learn to create real-time computer vision applications with a couple of Python functions and a model URI.
14 Oct 2015 by Mitchell J.
Introducing Wearable Chess - a complete, open-source chess app for Android Wearables!
27 May 2014 by Mohd Akram
13 Nov 2013 by Nish Nishant, Marcelo Ricardo de Oliveira, Kunal Chowdhury «IN», Monjurul Habib, 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.
9 Feb 2024 by Nicolas DESCARTES
What are vector databases?
13 Nov 2013 by Nish Nishant, Marcelo Ricardo de Oliveira, Kunal Chowdhury «IN», Monjurul Habib, 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.
13 Mar 2019 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.
16 Mar 2012 by Paulo Zemek
This article will explain some concepts of game development and how to apply and adapt them for multiplayer development.
29 Jun 2020 by philoxenic
In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.
30 Jun 2020 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.
2 Jul 2020 by philoxenic
In this article we will learn from the contents of the game’s RAM instead of the pixels.
3 Jul 2020 by philoxenic
In this article, we will see how we can improve by approaching the RAM in a slightly different way.
6 Jul 2020 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.
25 Jun 2020 by philoxenic
In this article, you will be up and running, and will have done your first piece of reinforcement learning.
26 Jun 2020 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.
1 Jan 2019 by Prilvesh K
Apple-tron, a quick AI for small to medium enterprise farmers, that applies stickers to fruits
25 Dec 2005 by Priyank Bolia
A beginner's tutorial on wxWidgets for cross platform GUI development.
26 Nov 2009 by prof3ssor
Console application that assumes artificial inteligence to the feable user
22 Jul 2004 by pseudonym67
A Connect Four Game that learns from experience.
30 Oct 2023 by Rami Alshaar
Enhance your coding skills with a walkthrough on how to create a smart calculator with many features made in Python.
15 Oct 2020 by Raphael Mun
This is the first in a series of article where we'll explain how to create an AI chatbot using transformers.
16 Oct 2020 by Raphael Mun
In this article, we’ll build a trivia chatbot.
19 Oct 2020 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.
21 Oct 2020 by Raphael Mun
In this article, we'll create a chatbot we can have a dialogue with.
22 Oct 2020 by Raphael Mun
In this article we’ll build a Shakespearean Monologue Generator in the Browser with TensorFlow.js.
8 Jul 2020 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.
9 Jul 2020 by Raphael Mun
In this article, we’ll dive into computer vision running right within a web browser.
10 Jul 2020 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.
13 Jul 2020 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.
14 Jul 2020 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.
15 Jul 2020 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.
2 Feb 2021 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.
3 Feb 2021 by Raphael Mun
In this article we'll use the key facial landmarks to infer more information about the face from the images.
4 Feb 2021 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.
5 Feb 2021 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.
8 Feb 2021 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.
9 Feb 2021 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.
25 Nov 2011 by Richard Chambers
An example of a combat information addon for World of Warcraft using Lua and the World of Warcraft API
3 Mar 2021 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.
12 Nov 2020 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.
13 Nov 2020 by Ruturaj Raval
In this article we walk through the basic setup of the model-based app in the Android environment.
16 Nov 2020 by Ruturaj Raval
In this article we’ll set up the TFLite model in the Android environment and create a working demo application.
17 Nov 2020 by Ruturaj Raval
In this article we’ll carry out real-time testing of our app.
18 Nov 2020 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.
10 May 2021 by Ryan Scott White
Converts past and real-time stock market tick data into time-sliced summaries called Briefs
15 Mar 2016 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.
8 Nov 2009 by Sacha Barber
An AI search application using the A* algorithm.
29 Jan 2007 by Sacha Barber
AI : An Introduction into Neural Networks (Multi-layer networks / Back Propagation)
16 May 2007 by Sacha Barber
AI : An introduction into Neural Networks
29 Jan 2007 by Sacha Barber
AI: An introduction into neural networks (multi-layer networks / trained by Microbial GA).
22 Mar 2018 by Scott Clayton
Build a recommendation system using collaborative filtering and matrix factorization.
12 Feb 2018 by Scott Clayton
Train a binary classifier in Azure and then use it in a C# application.
8 Nov 2023 by Sean Ewington
In this article, I guide you through installing Docker, then running CodeProject.AI Server in Docker.
29 Nov 2022 by Sean Ewington
In this article, I show you how to get facial recognition working in Blue Iris and CodeProject.AI Server.
23 Mar 2023 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.
7 Apr 2023 by Sean Ewington
This article is a continually updated FAQ on how to use Blue Iris with CodeProject.AI Server
1 May 2023 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.
1 Feb 2023 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.
11 Aug 2023 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.
9 Dec 2022 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.
9 Dec 2022 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.
19 Jan 2023 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.
20 Aug 2020 by Serge Desmedt
A try it yourself guide to the basic math behind ADALINE perceptron
28 Jul 2021 by Sergey L. Gladkiy
In this article, we focus on developing and testing a face identification algorithm along with the face detection module.
29 Jul 2021 by Sergey L. Gladkiy
In this article we create a Docker container for this system.
30 Jul 2021 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.
3 Aug 2021 by Sergey L. Gladkiy
In this next article of the series, we’ll show how to run the face recognition servers on Kubernetes.
4 Aug 2021 by Sergey L. Gladkiy
In this article, we’ll discuss some aspects of developing a facial recognition system from scratch.
16 Jul 2021 by Sergey L. Gladkiy
In this article we discuss the principles of face detection and facial recognition.
19 Jul 2021 by Sergey L. Gladkiy
In this article, we’ll run a pretrained DNN model to detect faces in video.
20 Jul 2021 by Sergey L. Gladkiy
In this article I’ll explain how to perform the alignment based on the face landmarks the detector has found.
21 Jul 2021 by Sergey L. Gladkiy
In this article we’ll run our face detector on a Raspberry Pi device.
17 Jul 2020 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.
20 Jul 2020 by Sergey L. Gladkiy
In this article we’ll talk about the selection and acquisition of the image dataset.
21 Jul 2020 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.
22 Jul 2020 by Sergey L. Gladkiy
In this article we’ll build the network we’ve designed using the Keras framework.
23 Jul 2020 by Sergey L. Gladkiy
In this article we train the CNN for age estimation.
24 Jul 2020 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.
5 Oct 2020 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.
6 Oct 2020 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.
7 Oct 2020 by Sergey L. Gladkiy
In this article, we’ll showcase the Python code for launching these models and detect humans in images.
8 Oct 2020 by Sergey L. Gladkiy
In this article, we’ll see how you can install Python-OpenCV on the device and run the code.
9 Oct 2020 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.
13 Oct 2020 by Sergey L. Gladkiy
In this article we’ll develop Python code for person detection in a video stream.
14 Oct 2020 by Sergey L. Gladkiy
In this article, we’ll modify the code for real-time processing on an edge device.
3 Mar 2021 by Sergey L. Gladkiy
In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.
16 Dec 2020 by Sergey L. Gladkiy
In the next article, we’ll use a pre-trained DNN to detect pests on video.
17 Dec 2020 by Sergey L. Gladkiy
In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.
18 Dec 2020 by Sergey L. Gladkiy
In this article we’ll create the training dataset for our pest of choice: The moose.
21 Dec 2020 by Sergey L. Gladkiy
In this article, we’ll see how the same result can be achieved by data augmentation.
22 Dec 2020 by Sergey L. Gladkiy
In this article, we’ll discuss training our DNN classifier with the augmented dataset.
23 Dec 2020 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.
3 May 2021 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
25 Jan 2021 by Sergio Virahonda
Different approaches to create a face mask detector
26 Jan 2021 by Sergio Virahonda
In this article we prepare a face mask images for our AI model training.
27 Jan 2021 by Sergio Virahonda
In this article in the series, we label a face mask dataset.
28 Jan 2021 by Sergio Virahonda
In this article, we’re going to use the dataset to train a YOLOv5 object detection model.
29 Jan 2021 by Sergio Virahonda
In this article we test a face mask detector on a regular computer.
1 Feb 2021 by Sergio Virahonda
In this article we’ll deploy our YOLOv5 face mask detector on Raspberry Pi.
24 Feb 2021 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.
25 Feb 2021 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.
26 Feb 2021 by Sergio Virahonda
In this article we talk about anomaly detection on time series data.
1 Mar 2021 by Sergio Virahonda
In the next article, we are going to discuss forecasting on Bitcoin time series.
2 Mar 2021 by Sergio Virahonda
In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.
23 Apr 2013 by Shahin Khorshidnia
For beginners, Recursive introduction, Examples, Benefits and Defects. A part of Data structure.
13 Nov 2013 by Nish Nishant, Marcelo Ricardo de Oliveira, Kunal Chowdhury «IN», Monjurul Habib, 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.
28 Aug 2013 by Software Developer's Journal
This article presents an overview of the key techniques and algorithms used in modern computer games.
28 Aug 2013 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.
12 Sep 2017 by The Zakies
Question answer chatbot using natural language parsing and web scrapping
3 Mar 2018 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.
24 Jun 2019 by Thomas Daniels
This article describes the making of a tic tac toe player that uses neural networks and machine learning.
4 Feb 2011 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
4 Apr 2011 by trushant pachnekar
The science and art of creating and solving cryptarithms.
2 Jul 2014 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.
22 Mar 2019 by Apriorit Inc, Vadym Zhernovyi
Learn more about the challenges we faced with dataset preparation and network configuration, and how these problems can be solved.
17 May 2012 by Leo Moll
Very humorous historical text about the art of programming computers
6 Jan 2004 by Wesner Moise
Detailed looked at the implementation of strings in .NET
4 Jan 2003 by Wesner Moise
An detailed look at the implementation of Arrays and ArrayLists.
26 Mar 2003 by Joe Nellis
Five classes for computing discrete probabilities
8 Jan 2004 by dzzxyz
This application demonstrates how to Create, Train and Test an AI Chatbot.
30 Nov 2003 by dzzxyz
This application demonstrates how to write a VB client for an AI chat bot.
26 Nov 2003 by pseudonym67
Another experiment looking at a different way to implement Neural Network code.
13 Jul 2004 by Neri LLosa
2 Dec 2004 by Utku KAYA
Introduction to Intelligent Systems in practice.
9 Dec 2004 by Sergio Mach
Evaluate C# on delivering more than 1000 animated sprites on fullscreen 1280x1024.
18 Oct 2005 by Abhishek M
An article on Knowledge Management for organizations.
23 Mar 2006 by Salman Jamali
This article discusses the paradigm shift in the way we model our information systems
1 Apr 2006 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
7 Nov 2006 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.
6 Feb 2007 by PARK Youngho
An example of using the WTL library in an artificial intelligence game.
8 Jan 2007 by Dan Buskirk
First contact with Prolog programming for .NET and Mono Developers
12 Feb 2007 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.
11 Jul 2008 by Seshi
State space search algorithms - implemented with C# .NET 3.0 WPF
18 Mar 2008 by Zdravko Krustev
An implementation of the popular game Reversi, written as a project for an AI course.
4 Aug 2008 by Taylor Kobani
A simple example of how to classify data using genetic algorithm and VB.Net
11 Sep 2008 by Roman Kiss
This article describes the design and implementation of the Repository Tool to create and manage contracts for virtual (manageable) services.
12 Nov 2009 by Carlos Jiménez de Parga
Expert system modeling in CommonKADS and CLIPS implementation, embedded in C++.
12 Dec 2009 by Tecfield
This article is about a new operating system called ISATIS
17 Jan 2010 by JeffHeaton
An introduction to creating neural networks with the Encog Framework for Java.
24 Jan 2010 by Jeroen De Dauw
A small C# library that provides scaffolding for genetic algorithm based functionality.
11 Oct 2013 by BrainlessLabs.com
This is the first of a series of articles where we will explore about writing compilers.
26 Jan 2010 by JeffHeaton
An introduction to creating neural networks with the Encog Framework for C#.
13 Aug 2010 by Christ Kennedy
15 Dec 2010 by hector [.j.] rivas
Helping the combo box autocomplete function with a frequency count.
13 Apr 2011 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.
27 Mar 2012 by Sara El-Sayed El-Metwally
Simple implementation of Uninformed Search Strategies in AI course.
30 Jun 2011 by Manning
A chapter excerpt from Generative Art
18 Jul 2011 by hosein fereidooni
Solving Sudoku using Informed Search Algorithms
24 Jul 2011 by hosein fereidooni
This article solves a maze problem with Informed Search
3 Apr 2012 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
18 Jan 2012 by Sašo Mađarić
Fuzzy Logic API and Fuzzy Logic DSL implemented with C++.
9 Jun 2012 by Ghazanfar_Ali
Implementation of A* algorithm using Python and PyGame for solving an 8-Puzzle automatically.
17 Apr 2012 by Mehmet Mutlu
Details of my solution algorithms, implemented programs, and the results I have concluded.
21 May 2012 by Jeff B. Cromwell
Granger Causality in both R and C#.NET with open source libraries.
21 Mar 2013 by Ata Amini
A set of static methods in Java that are critical in all mathematical calculations that involve matrices
25 Nov 2012 by Lucas Allen
Running, Initializing and Training a Neural Network.
5 Apr 2013 by HTML5 Partners
How the "Be the Thief" experience was created
10 Sep 2015 by Gnanendra Kumar
An Artificial Intelligent Home Assistant
31 Jul 2013 by Hisham Abdullah Bin Ateya
Querying a family tree in LINQ fashion.
4 Nov 2013 by CodeProject
Dave Butler, VP and Senior Business Leader at MasterCard, offers developers insight into the company’s worldwide OpenAPI platform.
11 Dec 2013 by Saman Saeedi
A code sample to explore adversarial search algorithms
13 Jul 2014 by CodeMaster9
This will help you make you're own advanced tic tac toe game
12 Jun 2014 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.
4 Jul 2014 by D. Infuehr
How to implement a simple neuronal network into C#
11 Aug 2014 by Andres Cassagnes
A basic guideline to start with GUI designing with wxWidgets
14 Jun 2023 by pi19404
Supervised ML algorithm for multi-class classification
9 Oct 2014 by pi19404
About single-hidden layer MLP
23 Sep 2014 by Niladri_Biswas
Text Mining and its Business Applications
6 Nov 2014 by Stevan Rogers
Dynamically adapting your UI to 2 in 1 configuration changes
17 Nov 2014 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.
16 Jan 2015 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.
6 Mar 2015 by JorgeLuisOrejel
18 Mar 2015 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.
6 Jul 2015 by Matteo Manferdini
A guide on how to be on top of iOS development
21 Jan 2016 by Sreram K
This explains the working of a program that solves Sudoku puzzles.
8 Apr 2016 by hemanthk119
Using Farseer Physics Library and Neural Networks, an example of behavioral evolution is simulated
15 Apr 2016 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.
22 Jul 2016 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.
8 Jun 2022 by Ganesan Senthilvel
An interesting article on Artificial Intelligence Chat Ro(Bot) application development
28 Aug 2016 by Rodrigo Costa Camargos
Implement well-known agglomerative clustering algorithm in C#
19 Dec 2016 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.
29 Jan 2017 by Miguel Diaz Kusztrich
Demonstrate or refute a conclusion automatically from a series of premises
28 May 2017 by KristianEkman
Chess engine and simple chess user interface
14 Feb 2017 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?"
12 Apr 2017 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.
4 May 2017 by Intel
This article will go over some basics of AI, and outline some tools and resources that may help.
24 May 2017 by mohammad farahi
English Number recognition with Multi Layer Perceptron Neural Network (MLP)
1 Jun 2017 by Intel
This paper introduces the Artificial Intelligence (AI) community to TensorFlow optimizations on Intel® Xeon® and Intel® Xeon Phi™ processor-based platforms.
1 Jun 2017 by Intel
Artificial intelligence holds greater promise in transforming clinical research.
14 Aug 2017 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.
14 Aug 2017 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.
14 Aug 2017 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.
14 Aug 2017 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.
29 Aug 2017 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.
19 Sep 2017 by Intel
An interview with Adam Milton-Barker, Intel® Software Innovator.
29 Sep 2017 by Gamil Yassin
ML algorithms based on function or type of problems they solve
22 Nov 2018 by Philipp_Engelmann
How to create a Turing machine in Python - Part 2
3 Nov 2018 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.
6 Feb 2018 by raddevus
Entry in the Artificial Intelligence and Machine Learning Contest. Here's how I learned / guessed how to find spam.
5 Mar 2018 by Kornfeld Eliyahu Peter
The Machine Learning and Artificial Intelligence Challenge
12 Mar 2018 by Peter Leow
Design and implement a simple AI agent that can learn and fight the relentless spam plague.
3 Mar 2018 by Vince Chan
A walkthrough of common machine learning tasks - by building a Naive Bayes Spam Classifier using python and scikit-learn
3 Mar 2018 by sjb_strat
Create a Spam Filter Using Machine Learning
3 Mar 2018 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.
8 Apr 2018 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
13 Feb 2019 by billschreiber111
This article describes a recommendation engine or collaborative filter that is written in C#.
3 Apr 2019 by Mahsa Hassankashi
21 Apr 2018 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.
3 Sep 2018 by asiwel
Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB
1 Oct 2018 by asiwel
How to Deploy Trained Models Concurrently
23 Oct 2018 by DataBytzAI
Using a pre-configured environment on Azure to create a "ready to go" Deep Learning machine
10 Dec 2018 by Apriorit Inc, Vadym Zhernovyi
The experience of improving Mask R-CNN performance six to ten times by applying TensorRT
12 Dec 2018 by Christ Kennedy
An exhaustive search of all game-states used to trace Mini-Max decisions from End game up through to Start game
22 Jan 2019 by KristianEkman
A cell by cell walkthrough of the maths of a Neural network
3 Jan 2019 by DataBytzAI
Part one of a series to demystify and democratize the magic (not) of AI
27 Jan 2019 by George Swan
A simple invincible implementation of Tic Tac Toe
10 Jun 2022 by Gaston Verelst
How to use F# to implement algorithms such of k-means
18 Feb 2019 by Apriorit Inc, ruksovdev
A detailed description of an FPGA-specific framework called ISE Design Suite, and the main steps you need to take in order to create a VGA driver using FPGA
7 Mar 2019 by Apriorit Inc, Semyon Boyko
How to use this Google service and the free NVIDIA Tesla K80 GPU to achieve your own goals in training neural networks
4 Apr 2019 by Apriorit Inc, Semyon Boyko
Find out an easy way to use the pretrained Inception V3 neural network for video classification.
21 Apr 2019 by Ngọc Minh Trần
Diary of learning Machine Learning and TensorFlow
30 Apr 2019 by Apriorit Inc, Semyon Boyko
The approach that allows you to make a neural network analyze the current frame while remembering the state of previous frames
31 Aug 2019 by Ryan Peden
Using SAP HANA and Amazon SageMaker to have fun with AI in the cloud!
8 Sep 2019 by Arthur V. Ratz
How to properly install and configure SAP-HANA and TensorFlow Model Server to predict the S&P 500 Index
14 Sep 2019 by Arthur V. Ratz
How to create and export TensorFlow S&P 500 Index prediction model and serve it using TensorFlow Model Server
30 Oct 2019 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.
2 Nov 2019 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.
10 Mar 2020 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.
23 Feb 2020 by Member 14750355
DevOps is a methodology that aims to create a synergy between software engineering and IT operations teams.
4 Sep 2020 by Mosi_62
Logistic regression, back propagation and support vector machine in comparison on the Iris data set
7 May 2020 by DaveMathews
Using an on-device bot development framework to integrate a chatbot into unity
29 May 2020 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.
29 May 2020 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.
29 May 2020 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.
29 May 2020 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.
29 May 2020 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.
29 May 2020 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.
29 May 2020 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.
12 Jun 2020 by Thomas Daniels
This article provides some tips for experienced programmers to get up to speed with the basics of Python.
15 Jun 2020 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.
16 Jun 2020 by Thomas Daniels
In this article we go a bit further with generators and classes.
17 Jun 2020 by Thomas Daniels
In this article we can take a look at what libraries are available to work on AI and ML tasks.
18 Jun 2020 by Thomas Daniels
In this article let's get started hands-on with OpenCV.
19 Jun 2020 by Thomas Daniels
In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).
22 Jun 2020 by Thomas Daniels
In this article, let’s dive into Keras, a high-level library for neural networks.
23 Jun 2020 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.
23 Jul 2020 by Habibur Rony
Basics of the rule-based chatbot, machine-learning chatbot and AI chatbot.
14 Nov 2020 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.
19 Aug 2020 by MehreenTahir
In this article we create a web app that trains the classifier on the go and recognizes grumpy facial expressions.
20 Aug 2020 by MehreenTahir
In this will article extend our model to do custom classification in real time using a webcam.
21 Aug 2020 by MehreenTahir
In this article we use another pre-trained model, face-api.js, to detect expressions without doing any training ourselves.
24 Aug 2020 by MehreenTahir
In this article we’ll predict someone’s gender and age in the browser.
26 Aug 2020 by Jarek Szczegielniak
In this article we prepare our development environment.
28 Aug 2020 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.
31 Aug 2020 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.
1 Sep 2020 by Jarek Szczegielniak
In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.
7 Sep 2020 by DaveMathews
Customizing and building a Plugin for an AI Voice Assistant platform for PC in C#
3 Sep 2020 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.
4 Sep 2020 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
8 Sep 2020 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.
9 Sep 2020 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.
10 Sep 2020 by Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
11 Sep 2020 by Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
14 Sep 2020 by Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
16 Sep 2020 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
17 Sep 2020 by Joel Ivory Johnson
In this article we will take a pre-trained neural network and adapt it for use in TensorFlow Lite.
18 Sep 2020 by Joel Ivory Johnson
In this article we will create an Android application and import our TensorFlow Lite model into it.
21 Sep 2020 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.
22 Sep 2020 by Joel Ivory Johnson
In this article we will consider the ways in which the network could be further optimized.
23 Sep 2020 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.
25 Sep 2020 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.
28 Sep 2020 by philoxenic
In this article, we look at two of the simpler locomotion environments that PyBullet makes available and train agents to solve them.
29 Sep 2020 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.
30 Sep 2020 by philoxenic
In this article we will adapt our code to train the Humanoid environment using a different algorithm: Soft Actor-Critic (SAC).
1 Oct 2020 by philoxenic
In this article we will try to train our agent to run backwards instead of forwards.
2 Oct 2020 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.
20 Nov 2020 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.
24 Dec 2020 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.
5 Jan 2021 by Joel Ivory Johnson
This article series will show readers how to create a real-time AI hazard detector using an Android device.
6 Jan 2021 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.
7 Jan 2021 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.
8 Jan 2021 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.
11 Jan 2021 by Joel Ivory Johnson
In the next entry of the AI Hazard Detection on Android series, we will look at crash detection and notifications.
12 Jan 2021 by Joel Ivory Johnson
In the next part of the AI Hazard Detection on Android series, we’ll have the application process live data.
13 Apr 2021 by Martin_Rupp
In this series of articles, we’ll show you how to use deep learning to create an automatic translation system.
14 Apr 2021 by Martin_Rupp
In this article we introduce the main theoretical concepts required for building an ML-based translator.
15 Apr 2021 by Martin_Rupp
Tools and software required to build a DL-based automatic translation system
16 Apr 2021 by Martin_Rupp
In this article we’ll build our AI language translation system.
19 Apr 2021 by Martin_Rupp
In this article, we’ll train and test the model we created in the previous entry in the series.
20 Apr 2021 by Martin_Rupp
In this article, we’ll train and test our translation models on additional languages.
2 May 2022 by KristianEkman
How to build an AI which plays Backgammon
26 Apr 2021 by Nirosh
Impact of quantum computing on healthcare industry
9 Jul 2021 by Shweta Lodha
Ways to extract information from sales receipt and detailed demonstration of how to use pre-built ML models
22 Jul 2021 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.
28 Jun 2023 by Matthew Dennis
A brief walkthrough of adding a new .NET AI module to CodeProject.AI Server
28 Oct 2022 by Sean Ewington
In this article, I walk you through setting up CodeProject.AI Server and Blue Iris using a Wyze Cam v3.
25 Nov 2022 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.
7 Dec 2022 by KrirkDev
This game allows you to create a Minimax bot, then play reversi with it.
17 Jan 2023 by Sean Ewington
In this article, I set up facial recognition with Agent DVR and CodeProject.AI Server.
3 Mar 2023 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.
13 Oct 2023 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.
16 Oct 2023 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.