Artificial Intelligence

Design

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

18 Sep 2017

Gamil Yassin

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

ANNT : Feed forward fully connected neural networks

28 Sep 2018

Andrew Kirillov

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

A Tic Tac Toe AI with Neural Networks and Machine Learning

24 Jun 2019

Thomas Daniels

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

AI based Tic Tac Toe (Java code)

27 May 2014

Mohd Akram

Java Tic Tac Toe (AI based)

Build Simple AI .NET Library - Part 3 - Perceptron

16 Sep 2017

Gamil Yassin

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

network

Correcting Missing Data in Pandas

29 May 2020

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.

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

17 Sep 2017

Gamil Yassin

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

ANN

network

Introducing Jupyter and Pandas

29 May 2020

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.

Reshaping Data in a Pandas DataFrame

29 May 2020

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.

Custom Model Object Detection with OpenCV and ImageAI

11 Jun 2020

Glenn Prince

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

Loading CSV and SQL Data into Pandas

29 May 2020

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.

SQLite

CSV

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

29 Sep 2017

Gamil Yassin

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

The DARL Language and its Online Fuzzy Logic Expert System Engine

1 Aug 2018

AndyEdmonds

A free service makes it possible to use a fuzzy logic expert system online. We'll go through an example of coding in .NET core to access this, and look at some of the features of the engine and the DARL language.

REST

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

13 Mar 2019

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.

CSS

Creating a Turing Machine in Python – Part 1

3 Nov 2018

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.

Create a ML Classification Pipeline in .NET with ClassifyBot

8 Apr 2018

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

Bezier Curve Machine Learning Demonstration

22 Aug 2018

asiwel

Bezier Curve Classification Training And Validation Models Using ALGLIB

JSON

Three Approaches for Machine Learning

4 Sep 2020

Mosi_62

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

Combining Multiple Datasets in Pandas

29 May 2020

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

Installing OpenCV and ImageAI for Object Detection

4 Jun 2020

Glenn Prince

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

Using Pretrained Models to Detect People With OpenCV and ImageAI

8 Jun 2020

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.

GALib

24 Jan 2010

Jeroen De Dauw

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

Classificiation Using Logistic Regression in Visual Basic

19 Dec 2016

petrostherock

Machine Learning. What languages come to mind? R? Python? Matlab? Bet you didn't think Visual Basic.

Creating a Turing Machine in Python – Part 2

22 Nov 2018

Philipp_Engelmann

How to create a Turing machine in Python - Part 2

Data Visualization using Seaborn and Pandas

29 May 2020

Glenn Prince

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

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

20 Aug 2020

Serge Desmedt

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

Knockout.js

ANN

Cleaning Data in a Pandas DataFrame

29 May 2020

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.

Preparing Images for Object Detection With OpenCV and ImageAI

9 Jun 2020

Glenn Prince

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

Backgammon Artificial Intelligence

5 May 2021

KristianEkman

How to build an AI which plays Backgammon

BriefMaker – An App for Processing Real-Time Market Data

10 May 2021

Ryan S White

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

big-data

capture

Converting an ONNX Object Detection Model to iOS Core ML

21 Nov 2020

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.

YAML

BoofCV: Real Time Computer Vision in Java

23 Jun 2014

lessthanoptimal

Introduction to and an example of how to use BoofCV

LINQ to Family Tree (Prolog Style)

31 Jul 2013

Hisham Abdullah Bin Ateya

Querying a family tree in LINQ fashion.

LINQ

Learning Machine Learning, Part 3: Application

14 Feb 2017

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?"

big-data

parallel-processing

Finding Training Data for OpenCV and ImageAI Object Detection

5 Jun 2020

Glenn Prince

In this article, we create an object detection model.

Training a Custom Model with OpenCV and ImageAI

10 Jun 2020

Glenn Prince

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

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

13 Jul 2020

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.

HTML5

Age Estimation With Deep Learning: Getting Started

17 Jul 2020

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.

Portable Neural Networks with ONNX

3 Sep 2020

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.

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

9 Feb 2021

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.

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

5 Oct 2020

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.

Labelling Images for AI Model Training

27 Jan 2021

Sergio Virahonda

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

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

3 Apr 2012

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

HTML5

All-Topics

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

14 Sep 2019

Arthur V. Ratz

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

How to Get Started as a Developer in AI

4 May 2017

Intel Corporation

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

Bezier Curve Machine Learning with MS CNTK

3 Sep 2018

asiwel

Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB

VS2017

CNTK

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

10 Mar 2020

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.

bot

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

19 Aug 2020

MehreenTahir

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

Setting up macOS for ML and AI Development

26 Aug 2020

Jarek Szczegielniak

In this article we prepare our development environment.

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

1 Sep 2020

Jarek Szczegielniak

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

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

7 Oct 2020

Sergey L. Gladkiy

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

Crash Detection Using the Accelerometer

11 Jan 2021

Joel Ivory Johnson

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

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

2 Feb 2021

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.

Why Use AI on Time-Series Data?

24 Feb 2021

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.

AI Anomaly Detection on Bitcoin Time Series Data

26 Feb 2021

Sergio Virahonda

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

Detecting Pests with a Motion Detector and Trained DNN

23 Dec 2020

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.

Why Use AI for Traffic Speed Detection?

13 Jan 2021

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.

Deep Learning in C#: Understanding Neural Network Architecture

4 Nov 2020

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.

DARL – AI and fuzzy logic rule language examples – scripting Bots

30 Apr 2018

AndyEdmonds

DARL is a fuzzy logic expert system language that can be composed from fragments selected from a database. We show you how with examples

bots

fuzzy

CNTK Model Concurrency Demonstration

1 Oct 2018

asiwel

How to Deploy Trained Models Concurrently

VS2017

Understanding the FPGA: From Developing Configurations to Building a VGA Driver

18 Feb 2019

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

embedded

Applying Long Short-Term Memory for Video Classification Issues

30 Apr 2019

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

Introducing NLTK for Natural Language Processing with Python

29 May 2020

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.

Finding Data for Natural Language Processing

29 May 2020

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.

API

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

8 Jul 2020

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.

Age Estimation With Deep Learning: Using CNN to Predict Age

24 Jul 2020

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.

Custom AI Face Recognition With Keras and CNN

5 Aug 2020

Arnaldo P. Castaño

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

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

24 Aug 2020

MehreenTahir

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

Using Portable ONNX AI Models in C#

10 Sep 2020

Keith Pijanowski

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

Setting Up an Android AI Development Environment

16 Sep 2020

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

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

25 Sep 2020

philoxenic

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

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

21 Oct 2020

Raphael Mun

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

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

27 Oct 2020

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 Queue Length Detection: Object Detection in Images Using YOLO

29 Oct 2020

MehreenTahir

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

Deep Learning in C#: Preprocessing the Coin Detection Dataset

3 Nov 2020

Arnaldo P. Castaño

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

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

16 Nov 2020

Ruturaj Raval

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

JSON

AI Hazard Detection on Android with Tensorflow Lite

5 Jan 2021

Joel Ivory Johnson

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

Using the Live Camera with AI Hazard Detection on Android

12 Jan 2021

Joel Ivory Johnson

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

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

3 Feb 2021

Raphael Mun

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

Preprocessing Time Series Data for AI Forecasting and Anomaly Detection

25 Feb 2021

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.

Deep Learning for Fashion Classification

15 Mar 2021

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.

Running AI Fashion Classification on Real Data

18 Mar 2021

Abdulkader Helwan

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

Training and Running a GAN for Fashion Design Generation

22 Mar 2021

Abdulkader Helwan

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

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

8 Sep 2019

Arthur V. Ratz

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

Design

Containerized AI and Machine Learning: Overview

23 Apr 2021

Jarek Szczegielniak

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

docker

Machine Reasoning in CAD Applictions

4 Feb 2011

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

Discussing MasterCard’s OpenAPI platform with business leader Dave Butler

4 Nov 2013

CodeProject

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

ASM

Mobile

Integrating a Chatbot into Unity in C#

7 May 2020

DaveMathews

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

Unity2D

Unity

Unity3D

bot

NLTK and Machine Learning for Sentiment Analysis

29 May 2020

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.

Improving NLTK Sentiment Analysis with Data Annotation

29 May 2020

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.

Using Cloud AI for Sentiment Analysis

29 May 2020

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.

cloud

Azure

Cartpole: Tweaking the Options

26 Jun 2020

philoxenic

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

Introduction to OpenAI Gym: Atari Breakout

29 Jun 2020

philoxenic

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

Learning Breakout More Quickly

30 Jun 2020

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 From RAM – Part 1

2 Jul 2020

philoxenic

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

Age Estimation With Deep Learning: Training CNN

23 Jul 2020

Sergey L. Gladkiy

In this article we train the CNN for age estimation.

Preparing a Dataset for AI Face Recognition

4 Aug 2020

Arnaldo P. Castaño

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

Deep Learning Text-to-Speech

7 Aug 2020

Arnaldo P. Castaño

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

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

21 Aug 2020

MehreenTahir

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

AI Image Classification on iOS with ResNet

28 Aug 2020

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.

Preparing Data for AI Image Classification on iOS

31 Aug 2020

Jarek Szczegielniak

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

AI Digital Assistant Customization via a Plugin Interface

7 Sep 2020

DaveMathews

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

bot

Creating an Android AI App With Tensorflow Lite

18 Sep 2020

Joel Ivory Johnson

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

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

29 Sep 2020

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 Run Backwards

1 Oct 2020

philoxenic

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

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

19 Oct 2020

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

28 Oct 2020

MehreenTahir

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

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

6 Nov 2020

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

6 Nov 2020

Arnaldo P. Castaño

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

AI Social Distancing Detector: Finding People That Are Too Close

10 Dec 2020

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

11 Dec 2020

Dawid Borycki

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

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

5 Feb 2021

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.

Preparing a Deep Learning Environment for COVID-19 Diagnosis

16 Feb 2021

Abdulkader Helwan

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

AI Forecasting on Bitcoin Time Series Data

1 Mar 2021

Sergio Virahonda

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

Fine-tuning VGG16 to Classify Clothing

17 Mar 2021

Abdulkader Helwan

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

Age Estimation With Deep Learning: Building CNN

22 Jul 2020

Sergey L. Gladkiy

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

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

9 Oct 2020

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

3 Mar 2021

Sergey L. Gladkiy

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

Detecting Pests Using Pre-Trained SSD Models

16 Dec 2020

Sergey L. Gladkiy

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

Detecting Unusual Pests

17 Dec 2020

Sergey L. Gladkiy

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

Extending Dataset with Data Augmentation

21 Dec 2020

Sergey L. Gladkiy

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

Training a DNN

22 Dec 2020

Sergey L. Gladkiy

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

Preparing Hardware for AI Traffic Speed Detection

15 Jan 2021

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.

More AI Traffic Speed Detection With TrafficCV

20 Jan 2021

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.

Optimizing the AI Traffic Speed Detector

27 Jan 2021

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.

Preparing Data for AI Fashion Classification

16 Mar 2021

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.

Decoding a Core ML YOLO Object Detector

23 Nov 2020

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.

Creating Docker Containers for AI and Machine Learning

26 Apr 2021

Jarek Szczegielniak

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

docker

Multi-Stage Docker Builds for AI Object Detection

18 May 2021

Jarek Szczegielniak

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

docker

Dockerized AI on Large Models With NLP and Transformers

19 May 2021

Jarek Szczegielniak

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

Debugging AI Code Running in a Docker Container

21 May 2021

Jarek Szczegielniak

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

Deploying AI Docker Containers to the Cloud

25 May 2021

Jarek Szczegielniak

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

A Simple World of Warcraft Addon using Lua

25 Nov 2011

Richard Chambers

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

All-Topics

Middleware in Game Development

15 Apr 2016

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.

TensorFlow Optimizations on Modern Intel® Architecture

1 Jun 2017

Intel Corporation

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

HPC

The Histogram Neuron - a Solution for "Kitten Stew" in Image Classification with CNNs

27 Dec 2017

R. Stacy Smyth

computer-vision

Create Your First Machine Learning Model to Filter Spam

3 Mar 2018

sjb_strat

Create a Spam Filter Using Machine Learning

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

4 Mar 2018

Diego Stéfano

Spam detection in Scala using Deeplearning4j.

Scala

DARL and Whitebox Machine Learning

16 Jun 2018

AndyEdmonds

Use the online free system to create machine learning models you can understand

fuzzy

Process Simulation with the Free DARL Online Service

5 Jul 2018

AndyEdmonds

You can simulate with DARL too! This demonstrates a financial trading simulation.

CEO

fuzzy

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

9 Jul 2020

Raphael Mun

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

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

10 Jul 2020

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.

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

14 Jul 2020

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.

WebGL

Age Estimation With Deep Learning: Designing CNN

21 Jul 2020

Sergey L. Gladkiy

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

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

20 Aug 2020

MehreenTahir

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

HTML5

Making Keras Models Portable Using ONNX

4 Sep 2020

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 TensorFlow Models Portable Using ONNX

9 Sep 2020

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.

Using Portable ONNX AI Models in Java

11 Sep 2020

Keith Pijanowski

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

Training Your Own TensorFlow Neural Network For Android

23 Sep 2020

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.

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

30 Sep 2020

philoxenic

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

Training a Humanoid AI Robot to Run With a Custom Model

2 Oct 2020

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.

AI Chatbots With TensorFlow.js: Detecting Emotion in Text

15 Oct 2020

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: Training a Trivia Expert AI

16 Oct 2020

Raphael Mun

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

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

13 Nov 2020

Ruturaj Raval

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

JSON

Decoding a YOLO Core ML Object Detector Using Array Operations

24 Nov 2020

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.

Creating a YOLO Core ML Object Detector with Decoding Logic

25 Nov 2020

Jarek Szczegielniak

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

Building a Core ML Pipeline for the iOS Vision Framework

26 Nov 2020

Jarek Szczegielniak

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

iOS Object Detection with Live Camera Preview

27 Nov 2020

Jarek Szczegielniak

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

Loading a TensorFlow Model with AI Hazard Detection on Android

6 Jan 2021

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.

Using TensorFlow Lite Results with AI Hazard Detection on Android

7 Jan 2021

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.

Alerting the Driver with AI Hazard Detection on Android

8 Jan 2021

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.

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

8 Feb 2021

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.

Restructuring ResNet50 to Diagnose COVID-19

17 Feb 2021

Abdulkader Helwan

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

Fine-tuning ResNet50 to Diagnose COVID-19

18 Feb 2021

Abdulkader Helwan

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

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

22 Feb 2021

Abdulkader Helwan

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

AI Forecasting and Anomaly Detection on Streaming Bitcoin Prices

2 Mar 2021

Sergio Virahonda

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

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

6 Oct 2020

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: Launching SSD on Raspberry Pi

8 Oct 2020

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: Detecting Persons on Video

13 Oct 2020

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

14 Oct 2020

Sergey L. Gladkiy

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

Preparing Dataset

18 Dec 2020

Sergey L. Gladkiy

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

Eliminating Pests with a Raspberry Pi

24 Dec 2020

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.

Vehicle Detection with TrafficCV

19 Jan 2021

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.

Completing the AI Traffic Speed Detector

22 Jan 2021

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.

Converting YOLOv5 PyTorch Model Weights to TensorFlow Lite Format

29 Jan 2021

Sergio Virahonda

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

Making PyTorch AI Models Portable Using ONNX

8 Sep 2020

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.

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

19 Mar 2021

Abdulkader Helwan

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

Exposing Dockerized AI Models via RESTful API

20 May 2021

Jarek Szczegielniak

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

Artificial Intelligence Powers Clinical Trials

1 Jun 2017

Intel Corporation

Artificial intelligence holds greater promise in transforming clinical research.

cloud

Mobile

Collective Intelligence, Recommending Items Based on Similar Users' Taste

3 Mar 2018

Omar Gameel Salem

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

Using Modified Inception V3 CNN for Video Processing and Video Classification

4 Apr 2019

Apriorit Inc, Semyon Boyko

Find out an easy way to use the pretrained Inception V3 neural network for video classification.

image

Notes on ML and TensorFlow: Linear Regression

21 Apr 2019

Coding Notes

Diary of learning Machine Learning and TensorFlow

7 Ways Machine Learning Can Optimize DevOps

23 Feb 2020

Member 14750355

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

All-Topics

DevOps

Learning Breakout From RAM – Part 2

3 Jul 2020

philoxenic

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

Learning Breakout: Advanced Topics

6 Jul 2020

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.

AI Face Recognition with a Pre-Trained Model

6 Aug 2020

Arnaldo P. Castaño

In this article we’ll adapt the VGG16 model.

Using Portable ONNX AI Models in Python

14 Sep 2020

Keith Pijanowski

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

Using an ONNX Neural Network Model with TensorFlow Lite on Android

17 Sep 2020

Joel Ivory Johnson

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

Visualizing TensorFlow Lite AI Results on Android

21 Sep 2020

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.

Android Tensorflow Lite Best Practices and Optimizations

22 Sep 2020

Joel Ivory Johnson

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

Teaching a Robot to Walk with AI and PyBullet Environments

28 Sep 2020

philoxenic

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

AI Chatbots With TensorFlow.js: Improved Trivia Expert

20 Oct 2020

Raphael Mun

In this article we will create a knowledge chatbot.

AI Chatbots With TensorFlow.js: Generating Shakespeare Monologue

22 Oct 2020

Raphael Mun

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

AI Queue Length Detection: Object detection using Keras

26 Oct 2020

MehreenTahir

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

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

9 Nov 2020

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.

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

3 Mar 2021

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: Training and Exporting Model

12 Nov 2020

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.

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

17 Nov 2020

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: Exploring the Outcome

18 Nov 2020

Ruturaj Raval

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

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

20 Nov 2020

Garretenion

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

.NET-Core

Building an Object Detection iOS App with YOLO Core ML Model

30 Nov 2020

Jarek Szczegielniak

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

COVID-19 Diagnosis Results with Deep Learning and ResNet50

19 Feb 2021

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.

Setting Up a Development Environment for AI Traffic Speed Detection

18 Jan 2021

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.

How to Train and Test an AI Language Translation System

19 Apr 2021

Martin_Rupp

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

A Brief Introduction to AI and Machine Language Translation

13 Apr 2021

Martin_Rupp

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

A Deep Dive Into Machine Translation

14 Apr 2021

Martin_Rupp

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

Tools for Building AI Language Translation Systems

15 Apr 2021

Martin_Rupp

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

Building AI Language Translation with TensorFlow and Keras

16 Apr 2021

Martin_Rupp

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

How the "Be the Thief" experience was created

5 Apr 2013

HTML5 Partners

How the "Be the Thief" experience was created

How to Write a 2 in 1 aware Application

6 Nov 2014

Stevan Rogers

Dynamically adapting your UI to 2 in 1 configuration changes

Win8

Genetic algorithm for icon generation in Visual Basic

16 Jan 2015

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.

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

19 Dec 2016

Intel Corporation

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.

IoT

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

19 Sep 2017

Intel Corporation

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

IoT

TensorFlow Tutorial 3: Importing Data

16 Oct 2018

CodeProject

AI Social Distancing Detector: Object Detection in Video Frames

7 Dec 2020

Dawid Borycki

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

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

9 Dec 2020

Dawid Borycki

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

Preparing Images for AI Model Training

26 Jan 2021

Sergio Virahonda

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

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

7 Nov 2006

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.

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

14 May 2015

Intel Corporation

Using the Intel® IoT Analytics Website for Data Mining

Edison

galileo

IoT

Bringing RISK to the Digital World

18 Mar 2015

Intel Corporation

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.

C++

Win8

Intel-Powered Deep Learning Frameworks

7 Feb 2017

Intel Corporation

Your Path to Deeper Insights

Scaling to Meet the Growing Needs of AI

12 Apr 2017

Intel Corporation

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.

Data Science is an Ocean of Information—Stay Focused!

14 Aug 2017

Intel Corporation

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.

Machine Learning on Intel® FPGAs

14 Aug 2017

Intel Corporation

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.

OpenCL

Stock Predictions through News Sentiment Analysis

14 Aug 2017

Intel Corporation

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.

Mycroft, the Open Source Alternative to Siri or Alexa

14 Aug 2017

Intel Corporation

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.

Linux

Building and Probing Prolog with Intel® Architecture

29 Aug 2017

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.

Exercising Misty's Extensibility

3 Apr 2019

Johnathan Ortiz-Sonnen

Deconstructing Misty's "Follow Ball" Skill

Arduino

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

8 Dec 2020

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.

Android Arm NN Image Classification

11 Dec 2020

Joel Ivory Johnson

Image classification using Arm NN on Android mobile devices

Improving the Performance of Mask R-CNN Using TensorRT

10 Dec 2018

Apriorit Inc, Vadym Zhernovyi

The experience of improving Mask R-CNN performance six to ten times by applying TensorRT

CUDA

How Quantum Computing can Impact the Healthcare Industry?

26 Apr 2021

Nirosh

Impact of quantum computing on healthcare industry

quantum-computing

diagnostics

XNA Snooker Club

8 Mar 2010

Marcelo Ricardo de Oliveira

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

Invasion Game in MonoGame for Windows Phone 8

5 Feb 2014

Dan Colasanti

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

Windows-Phone-7

Mobile

Monogame

XNA

Facial biometric authentication on your connected devices

22 Jul 2016

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.

CUDA

Why Real Neurons Learn Faster

21 Jan 2019

Adrian Pirvu

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

WPF: A* search

8 Nov 2009

Sacha Barber

An AI search application using the A* algorithm.

WPF

Design

Logical calculation with tableaux

29 Jan 2017

Miguel Diaz Kusztrich

Demonstrate or refute a conclusion automatically from a series of premises

Automatic Image Stitching with Accord.NET

23 Dec 2014

César de Souza

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

VS2008

Big Data

3 Apr 2019

Mahsa Hassankashi

It is almost everything about big data. This article explain practical example how to process big data (>peta byte = 10^15 byte) by using hadoop with multiple cluster definition by spark and compute heavy calculations by the aid of tensorflow libraries in python.

hadoop

Contract Model for Manageable Services

11 Sep 2008

Roman Kiss

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

VS2008

Sudoku puzzle Solver

21 Jan 2016

Sreram K

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

C++

cn5apinet - ConceptNet5 API Library

28 Mar 2014

JoeSox

Connect to ConceptNet 5's REST API

C#4.0

Applying Ant Colony Optimization Algorithms to Solve the Traveling Salesman Problem

13 Sep 2013

geoyar

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

Boost

AForge.NET open source framework

16 May 2007

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.

VS2005

Recommendation Engine

13 Feb 2019

billschreiber111

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

Real Programmers Don't Use PASCAL

17 May 2012

Leo Moll

Very humorous historical text about the art of programming computers

8 Queens Solution with Genetic Algorithm

19 Oct 2005

asef

Using Genetic Algorithm to solve the 8 Queens problem.

VS6

More Neural Network mathematics and code (C#)

25 Nov 2012

Lucas Allen

Running, Initializing and Training a Neural Network.

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

15 Sep 2020

Gary.Miller.WPF

MNIST Digit recognition in C#

WinForms

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

25 Aug 2018

I Love Code

An Introduction to Logistic Regression

From Machine Learning to Machine Cognition

15 Jul 2019

Adrian Pirvu

A Roadmap to Intelligence

Finding groups in data with C# - Agglomerative Clustering

28 Aug 2016

Rodrigo Costa Camargos

This article presents how to implement a well-known agglomerative clustering algorithm in C#.

Basis of Neural Networks in Visual Basic .NET

8 Sep 2015

Emiliano Musso

In this article (hopefully, the first of a small series), we'll see how to implement a neural network in Visual Basic .NET, i.e. a model capable of processing input data and adjust its internal mechanics to learn how to produce a desired result. We'll see more on this later. The present article will

Image Tagger - A Convolutional Neural Network Based Image Classifier

11 May 2020

Huseyin Atasoy

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

image-processing

MatLab

AI: Evolution Simulation in the Physics World

8 Apr 2016

hemanthk119

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

Data Classification Using VB.NET and Genetic Algorithm

4 Aug 2008

Amir Emamjomeh

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

"Birds of a Feather stick together" To Produce Users-To-Items Recommendations In JavaScript

6 Mar 2018

Arthur V. Ratz

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

Ajax