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Artificial Intelligence

artificial-intelligence

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by Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
by Serge Desmedt
A try it yourself guide to the basic math behind perceptrons
by Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
by PavolSatala
How to create an air hockey game for one player against the artificial intelligence for three mobile platforms with only one code?

Latest Articles

by Ryan S White
Converts past and real-time stock market tick data into time-sliced summaries called Briefs
by KristianEkman
How to build an AI which plays Backgammon
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
by Raphael Mun
In this article we’ll explore some Azure Cognitive Services that bring the power of AI to any app through the cloud.

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Artificial Intelligence 

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14 Dec 2018
Dmitriy Gakh
The perspectives of creating bots that write programs with two simple examples.
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12 May 2019
Serge Desmedt
A try it yourself guide to the basic math behind perceptrons
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28 Oct 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating convolutional ANNs and applying them to image classification tasks.
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10 Aug 2012
PavolSatala
How to create an air hockey game for one player against the artificial intelligence for three mobile platforms with only one code?
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6 Dec 2002
hzhou
A C# implementation of bucket elimination algorithm for inference in belief networks.
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9 Sep 2017
Gamil Yassin
This is a series of articles demonstrating .NET AI library from scratch
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6 Mar 2021
Hatem Mostafa
Artificial Neural Network C++ class with two use cases: Counter and Handwritten Digits recognition
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26 Aug 2020
DaveMathews
Automated Chat bot agent in an ASP.NET website that does not depend on any external API services
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6 Sep 2016
George Swan
An articial life algorithm that attempts to solve a problem by flying a swarm of entities through a range of possible solutions where each entity is guided by the performance of other members of the swarm
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18 Sep 2017
Gamil Yassin
This is a series of articles demonstrating .NET AI library from scratch
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28 Sep 2018
Andrew Kirillov
The article demonstrates usage of ANNT library for creating fully connected ANNs and applying them to different tasks.
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24 Jun 2019
Thomas Daniels
This article describes the making of a tic tac toe player that uses neural networks and machine learning.
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27 May 2014
Mohd Akram
Java Tic Tac Toe (AI based)
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16 Sep 2017
Gamil Yassin
This is a series of articles demonstrating .NET AI library from scratch
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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.
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17 Sep 2017
Gamil Yassin
This is a series of articles demonstrating .NET AI library from scratch
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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.
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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.
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11 Jun 2020
Glenn Prince
This article gives you a good starting point for your own object detection projects.
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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.
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29 Sep 2017
Gamil Yassin
This is a series of articles demonstrating .NET AI library from scratch
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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.
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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.
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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.
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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
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22 Aug 2018
asiwel
Bezier Curve Classification Training And Validation Models Using ALGLIB
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4 Sep 2020
Mosi_62
Logistic regression, back propagation and support vector machine in comparison on the Iris data set
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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
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4 Jun 2020
Glenn Prince
In this article, we'll set up everything we need to build a hardhat detector with OpenCV.
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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.
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24 Jan 2010
Jeroen De Dauw
A small C# library that provides scaffolding for genetic algorithm based functionality.
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19 Dec 2016
petrostherock
Machine Learning. What languages come to mind? R? Python? Matlab? Bet you didn't think Visual Basic.
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22 Nov 2018
Philipp_Engelmann
How to create a Turing machine in Python - Part 2
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29 May 2020
Glenn Prince
In this seventh part of the Data Cleaning with Python and Pandas series, we can explore our visualization options.
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20 Aug 2020
Serge Desmedt
A try it yourself guide to the basic math behind ADALINE perceptron
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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.
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9 Jun 2020
Glenn Prince
In this article, we train our own custom model to detect if people are wearing hardhats.
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5 May 2021U
KristianEkman
How to build an AI which plays Backgammon
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23 Jun 2014
lessthanoptimal
Introduction to and an example of how to use BoofCV
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31 Jul 2013
Hisham Abdullah Bin Ateya
Querying a family tree in LINQ fashion.
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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?"
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14 Sep 2019
Arthur V. Ratz
In this article, we will thoroughly discuss how to create and export TensorFlow S&P 500 Index prediction model and serve it using TensorFlow Model Server
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5 Jun 2020
Glenn Prince
In this article, we create an object detection model.
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10 Jun 2020
Glenn Prince
In this article, we begin the process of creating a custom object detection model.
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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.
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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.
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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.
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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.
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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.
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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.
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27 Jan 2021
Sergio Virahonda
In this article in the series, we label a face mask dataset.
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
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10 May 2021U
Ryan S White
Converts past and real-time stock market tick data into time-sliced summaries called Briefs
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4 May 2017
Intel Corporation
This article will go over some basics of AI, and outline some tools and resources that may help.
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3 Sep 2018
asiwel
Bezier Curve Classification Training and Validation Models using CNTK and ALGLIB
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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.
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19 Aug 2020
MehreenTahir
In this article we create a web app that trains the classifier on the go and recognizes grumpy facial expressions.
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26 Aug 2020
Jarek Szczegielniak
In this article we prepare our development environment.
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1 Sep 2020
Jarek Szczegielniak
In this article we can proceed to train our custom hot dog detection model using Apple’s Create ML.
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7 Oct 2020
Sergey L. Gladkiy
In this article, we’ll showcase the Python code for launching these models and detect humans in images.
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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.
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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.
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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.
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26 Feb 2021
Sergio Virahonda
In this article we talk about anomaly detection on time series data.
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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.
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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.
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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
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1 Oct 2018
asiwel
How to Deploy Trained Models Concurrently
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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
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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
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8 Sep 2019
Arthur V. Ratz
In this article, we will thoroughly discuss how to properly install and configure SAP-HANA and TensorFlow Model Server to predict the S&P 500 Index.
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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.
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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.
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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.
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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.
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5 Aug 2020
Arnaldo P. Castaño
In this article we’ll put together our CNN and train it for face recognition.
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24 Aug 2020
MehreenTahir
In this article we’ll predict someone’s gender and age in the browser.
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10 Sep 2020
Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
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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
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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.
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21 Oct 2020
Raphael Mun
In this article, we'll create a chatbot we can have a dialogue with.
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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.
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29 Oct 2020
MehreenTahir
In this article we will compare training our models from scratch with more advanced and pre-trained approaches like YOLO.
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3 Nov 2020
Arnaldo P. Castaño
In the next article, we will preprocess a dataset to be inputted to a machine learning model.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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18 Mar 2021
Abdulkader Helwan
In this article we evaluate VGG19 using real images taken by a phone camera.
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22 Mar 2021
Abdulkader Helwan
In this article we show you how to train the GAN for fashion design generation.
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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
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4 Nov 2013
CodeProject
Dave Butler, VP and Senior Business Leader at MasterCard, offers developers insight into the company’s worldwide OpenAPI platform.
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7 May 2020
DaveMathews
Using an on-device bot development framework to integrate a chatbot into unity
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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.
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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.
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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.
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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.
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29 Jun 2020
philoxenic
In this article, we start to look at the OpenAI Gym environment and the Atari game Breakout.
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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.
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2 Jul 2020
philoxenic
In this article we will learn from the contents of the game’s RAM instead of the pixels.
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23 Jul 2020
Sergey L. Gladkiy
In this article we train the CNN for age estimation.
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4 Aug 2020
Arnaldo P. Castaño
In this article, we’ll talk about preparing a dataset for feeding the correct data to a CNN.
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7 Aug 2020
Arnaldo P. Castaño
In this article we focus on the Text-to-Speech with the use of Deep Learning.
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21 Aug 2020
MehreenTahir
In this article we use another pre-trained model, face-api.js, to detect expressions without doing any training ourselves.
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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.
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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.
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7 Sep 2020
DaveMathews
Customizing and building a Plugin for an AI Voice Assistant platform for PC in C#
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18 Sep 2020
Joel Ivory Johnson
In this article we will create an Android application and import our TensorFlow Lite model into it.
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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.
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1 Oct 2020
philoxenic
In this article we will try to train our agent to run backwards instead of forwards.
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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.
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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.
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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.
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6 Nov 2020
Arnaldo P. Castaño
In this article we will examine the CNN we implemented for coin recognition using Keras.NET.
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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.
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11 Dec 2020
Dawid Borycki
In this last article of the series, we improve our Python console application for AI-powered social distancing detection.
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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.
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16 Feb 2021
Abdulkader Helwan
In this article, we’ll discuss materials and methods for this project.
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1 Mar 2021
Sergio Virahonda
In the next article, we are going to discuss forecasting on Bitcoin time series.
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17 Mar 2021
Abdulkader Helwan
In this article we show you how to train VGG19 to recognize what people are wearing.
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22 Jul 2020
Sergey L. Gladkiy
In this article we’ll build the network we’ve designed using the Keras framework.
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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.
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3 Mar 2021
Sergey L. Gladkiy
In this article, we compared two DNN types we can use to detect pests: detectors and classifiers.
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16 Dec 2020
Sergey L. Gladkiy
In the next article, we’ll use a pre-trained DNN to detect pests on video.
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17 Dec 2020
Sergey L. Gladkiy
In this we’ll talk about some ideas for detecting "exotic" pests, such as moose and armadillos.
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21 Dec 2020
Sergey L. Gladkiy
In this article, we’ll see how the same result can be achieved by data augmentation.
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22 Dec 2020
Sergey L. Gladkiy
In this article, we’ll discuss training our DNN classifier with the augmented dataset.
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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.
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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.
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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.
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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.
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25 Nov 2011
Richard Chambers
An example of a combat information addon for World of Warcraft using Lua and the World of Warcraft API
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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.
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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.
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3 Mar 2018
sjb_strat
Create a Spam Filter Using Machine Learning
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16 Jun 2018
AndyEdmonds
Use the online free system to create machine learning models you can understand
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5 Jul 2018
AndyEdmonds
You can simulate with DARL too! This demonstrates a financial trading simulation.
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9 Jul 2020
Raphael Mun
In this article, we’ll dive into computer vision running right within a web browser.
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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.
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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.
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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.
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20 Aug 2020
MehreenTahir
In this will article extend our model to do custom classification in real time using a webcam.
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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
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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.
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11 Sep 2020
Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
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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.
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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).
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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.
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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.
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16 Oct 2020
Raphael Mun
In this article, we’ll build a trivia chatbot.
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13 Nov 2020
Ruturaj Raval
In this article we walk through the basic setup of the model-based app in the Android environment.
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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.
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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.
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25 Nov 2020
Jarek Szczegielniak
In this article we are ready to include detection decoding directly in the Core ML model.
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26 Nov 2020
Jarek Szczegielniak
In this article we’ll create a Core ML pipeline to be our end-to-end model.
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27 Nov 2020
Jarek Szczegielniak
In the next article, we’ll start working on the iOS application that will use that model.
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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.
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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.
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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.
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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.
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17 Feb 2021
Abdulkader Helwan
In this article, we’ll work on restructuring ResNet50 to perform the new classification task.
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18 Feb 2021
Abdulkader Helwan
In this article, we’ll fine-tune our ResNet50 model.
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22 Feb 2021
Abdulkader Helwan
In this article, we’ll show you how to build a network for Covid-19 detection from scratch.
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2 Mar 2021
Sergio Virahonda
In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.
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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.
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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.
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13 Oct 2020
Sergey L. Gladkiy
In this article we’ll develop Python code for person detection in a video stream.
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14 Oct 2020
Sergey L. Gladkiy
In this article, we’ll modify the code for real-time processing on an edge device.
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18 Dec 2020
Sergey L. Gladkiy
In this article we’ll create the training dataset for our pest of choice: The moose.
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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.
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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.
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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.
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29 Jan 2021
Sergio Virahonda
In this article we test a face mask detector on a regular computer.
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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.
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19 Mar 2021
Abdulkader Helwan
In this article we show you how to build a Generative Adversarial Network (GAN) for fashion design generation.
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1 Jun 2017
Intel Corporation
Artificial intelligence holds greater promise in transforming clinical research.
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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.
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4 Apr 2019
Apriorit Inc, Semyon Boyko
Find out an easy way to use the pretrained Inception V3 neural network for video classification.
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21 Apr 2019
Coding Notes
Diary of learning Machine Learning and TensorFlow
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23 Feb 2020
Member 14750355
DevOps is a methodology that aims to create a synergy between software engineering and IT operations teams.
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3 Jul 2020
philoxenic
In this article, we will see how we can improve by approaching the RAM in a slightly different way.
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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.
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6 Aug 2020
Arnaldo P. Castaño
In this article we’ll adapt the VGG16 model.
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14 Sep 2020
Keith Pijanowski
In this article, I provided a brief overview of the ONNX Runtime and the ONNX format.
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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.
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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.
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22 Sep 2020
Joel Ivory Johnson
In this article we will consider the ways in which the network could be further optimized.
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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.
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20 Oct 2020
Raphael Mun
In this article we will create a knowledge chatbot.
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22 Oct 2020
Raphael Mun
In this article we’ll build a Shakespearean Monologue Generator in the Browser with TensorFlow.js.
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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.
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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.
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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.
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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.
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17 Nov 2020
Ruturaj Raval
In this article we’ll carry out real-time testing of our app.
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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.
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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.
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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.
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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.
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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.
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19 Apr 2021
Martin_Rupp
In this article, we’ll train and test the model we created in the previous entry in the series.
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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.
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14 Apr 2021
Martin_Rupp
In this article we introduce the main theoretical concepts required for building an ML-based translator.
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15 Apr 2021
Martin_Rupp
Tools and software required to build a DL-based automatic translation system
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16 Apr 2021
Martin_Rupp
In this article we’ll build our AI language translation system.
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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.
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5 Apr 2013
HTML5 Partners
How the "Be the Thief" experience was created
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6 Nov 2014
Stevan Rogers
Dynamically adapting your UI to 2 in 1 configuration changes
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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.
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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.
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19 Sep 2017
Intel Corporation
An interview with Adam Milton-Barker, Intel® Software Innovator.
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10 Dec 2018
Apriorit Inc, Vadym Zhernovyi
The experience of improving Mask R-CNN performance six to ten times by applying TensorRT
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7 Dec 2020
Dawid Borycki
In this article, we continue learning how to use AI to build a social distancing detector.
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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.
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26 Jan 2021
Sergio Virahonda
In this article we prepare a face mask images for our AI model training.
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.
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.
11 Dec 2020
Joel Ivory Johnson
Image classification using Arm NN on Android mobile devices
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.
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.
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.
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.
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.
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.
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.
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26 Apr 2021
Nirosh
Impact of quantum computing on healthcare industry
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8 Mar 2010
Marcelo Ricardo de Oliveira
WCF-enabled multi-player XNA game for the Windows platform.
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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.
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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.
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21 Jan 2019
Adrian Pirvu
A closer look into differences between natural nervous systems and artificial neural networks
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8 Nov 2009
Sacha Barber
An AI search application using the A* algorithm.
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29 Jan 2017
Miguel Diaz Kusztrich
Demonstrate or refute a conclusion automatically from a series of premises
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23 Dec 2014
César de Souza
Demonstration of automatic image stitching by interest point matching using the Accord and AForge.NET Frameworks
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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.
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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.
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21 Jan 2016
Sreram K
This explains the working of a program that solves Sudoku puzzles.
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13 Sep 2013
geoyar
Applying Ant Colony Optimization algorithms to solve the Traveling Salesman Problem.
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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.
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13 Feb 2019
billschreiber111
This article describes a recommendation engine or collaborative filter that is written in C#.
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17 May 2012
Leo Moll
Very humorous historical text about the art of programming computers
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19 Oct 2005
asef
Using Genetic Algorithm to solve the 8 Queens problem.
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25 Nov 2012
Lucas Allen
Running, Initializing and Training a Neural Network.
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28 Aug 2016
Rodrigo Costa Camargos
This article presents how to implement a well-known agglomerative clustering algorithm in C#.
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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
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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.
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15 Jul 2019
Adrian Pirvu
A Roadmap to Intelligence
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8 Apr 2016
hemanthk119
Using Farseer Physics Library and Neural Networks, an example of behavioral evolution is simulated
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4 Aug 2008
Amir Emamjomeh
A simple example of how to classify data using genetic algorithm and VB.Net
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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
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13 Nov 2013
Nish Nishant, Marcelo Ricardo de Oliveira, Monjurul Habib, Kunal Chowdhury «IN», Shai Raiten
In the summer of 2013, CodeProject celebrated hitting 10 million members and invited various CodeProject members to host get-togethers around the world. Here are some of the goings-on at those celebrations.
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26 Jan 2010
JeffHeaton
An introduction to creating neural networks with the Encog Framework for C#.
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22 Mar 2018
Scott Clayton
Build a recommendation system using collaborative filtering and matrix factorization.
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12 Jun 2014
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.
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23 Aug 2006
Daniel Admassu
The Project is an optical character recongnition application using artificial neural networks.
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24 May 2017
mohammad farahi
English Number recognition with Multi Layer Perceptron Neural Network (MLP)
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26 Mar 2003
Joe Nellis
Five classes for computing discrete probabilities