<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Neural Networks</title>
	<atom:link href="https://www.ai-tech.systems/tag/neural-networks/feed/" rel="self" type="application/rss+xml" />
	<link></link>
	<description>on-device tinyML and AIoT solutions for IoT devices and microcontrollers</description>
	<lastBuildDate>Sun, 31 Aug 2025 21:44:49 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	

<image>
	<url>https://www.ai-tech.systems/wp-content/uploads/2021/01/cropped-AITS-1-1-32x32.png</url>
	<title>Neural Networks</title>
	<link></link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Hate Speech and Offensive Language Detection</title>
		<link>https://www.ai-tech.systems/hate-speech-and-offensive-language-detection/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sat, 10 Dec 2022 13:13:04 +0000</pubDate>
				<category><![CDATA[Use Cases]]></category>
		<category><![CDATA[AI]]></category>
		<category><![CDATA[AI for Online Safety]]></category>
		<category><![CDATA[AI Tools for Hate Speech]]></category>
		<category><![CDATA[AI-Tech Systems Hate Speech]]></category>
		<category><![CDATA[Artificial Intelligence Hate Speech]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Cainvas Platform]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[CNN Architecture]]></category>
		<category><![CDATA[Content Moderation AI]]></category>
		<category><![CDATA[Convolutional Neural Network]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning for Content Moderation]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[Deep Learning models]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[Detection]]></category>
		<category><![CDATA[Detection model]]></category>
		<category><![CDATA[Digital Civility]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Hate Speech and Offensive Language Detection]]></category>
		<category><![CDATA[Hate speech detection]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Machine Learning Offensive Language]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Network]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Offensive Language Detection]]></category>
		<category><![CDATA[Online Harassment Prevention]]></category>
		<category><![CDATA[Prediction]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/hate-speech-and-offensive-language-detection/</guid>

					<description><![CDATA[<p>Nowadays we are well aware of the fact that if social media platforms are not handled carefully then they can create chaos in the world. One of the problems faced on these platforms are usage of Hate Speech and Offensive Language. Usage of such Language often results in fights, crimes or sometimes riots at worst. [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/hate-speech-and-offensive-language-detection/">Hate Speech and Offensive Language Detection</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Identifying insect bites — on cAInvas</title>
		<link>https://www.ai-tech.systems/identifying-insect-bites-on-cainvas/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Fri, 09 Dec 2022 15:08:36 +0000</pubDate>
				<category><![CDATA[Use Cases]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Identifying insect bites]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/identifying-insect-bites-on-cainvas/</guid>

					<description><![CDATA[<p>Differentiating between a mosquito bite and a tick bite using deep learning. Photo by Oliver Sin on Dribbble There are so many different types of insects around us that tend to bite/sting us when they get close. Insect bites can result in itching, swelling, redness, or rashes. While some of these bites need no special attention, [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/identifying-insect-bites-on-cainvas/">Identifying insect bites — on cAInvas</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>What type of star is it? — on cAInvas</title>
		<link>https://www.ai-tech.systems/what-type-of-star-is-it-on-cainvas/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Tue, 06 Dec 2022 12:58:51 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Stellar classification]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[Type of star]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/what-type-of-star-is-it-on-cainvas/</guid>

					<description><![CDATA[<p>Identify the type of star using its characteristics and neural networks. Photo by Alex Kunchevsky for OUTLΛNE on Dribbble Classification of stars based on their characteristics is called stellar classification. Here we classify them into 6 classes — Brown Dwarf, Red Dwarf, White Dwarf, Main Sequence, Supergiant, and Hypergiant. Implementation of the idea on cAInvas — here! Dataset On Kaggle [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/what-type-of-star-is-it-on-cainvas/">What type of star is it? — on cAInvas</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>DeepFake Face Detection</title>
		<link>https://www.ai-tech.systems/deepfake-face-detection/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Mon, 05 Dec 2022 20:55:21 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[Deepfake]]></category>
		<category><![CDATA[DeepFake Face Detection]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/deepfake-face-detection/</guid>

					<description><![CDATA[<p>Photo by Javier Jaén, Svetikd on The New Yorker Deepfake has been derived from “Deep Learning” which is a part of Machine Learning and involves the use of Artificial Neural Networks and the other word is “fake”. Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else’s [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/deepfake-face-detection/">DeepFake Face Detection</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Abalone age prediction — on cAInvas</title>
		<link>https://www.ai-tech.systems/abalone-age-prediction-on-cainvas/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Mon, 05 Dec 2022 09:59:52 +0000</pubDate>
				<category><![CDATA[Use Cases]]></category>
		<category><![CDATA[Abalone]]></category>
		<category><![CDATA[Abalone age prediction]]></category>
		<category><![CDATA[cAInvas]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Prediction]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/abalone-age-prediction-on-cainvas/</guid>

					<description><![CDATA[<p>Predicting the age of abalone (sea snails) from their physical measurements. Photo by Nico Medina on Dribbble Abalone is a common name for sea snails. Determining their age is a detailed process. Their shell is cut through the cone, stained and the rings are counted using a microscope. This is a time-consuming process that can be [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/abalone-age-prediction-on-cainvas/">Abalone age prediction — on cAInvas</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Water Potability Test using Deep Neural Networks</title>
		<link>https://www.ai-tech.systems/water-potability-test-using-deep-neural-networks/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Sat, 26 Nov 2022 02:19:07 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[Water Portability test]]></category>
		<category><![CDATA[Water Potability Test using Deep Neural Networks]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/water-potability-test-using-deep-neural-networks/</guid>

					<description><![CDATA[<p>Photo by MUTI on Dribbble Context Access to safe drinking-water is essential to health, a basic human right and a component of effective policy for health protection. This is important as a health and development issue at a national, regional and local level. In some regions, it has been shown that investments in water supply and [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/water-potability-test-using-deep-neural-networks/">Water Potability Test using Deep Neural Networks</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Fingerprint pattern classification using Deep Learning</title>
		<link>https://www.ai-tech.systems/fingerprint-pattern-classification-using-deep-learning/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Fri, 25 Nov 2022 13:47:30 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI Fingerprint Identification]]></category>
		<category><![CDATA[Biometric Authentication with AI]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[Convolutional Neural Networks (CNN) Fingerprint]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Fingerprint Classification]]></category>
		<category><![CDATA[Deep Learning Models for Fingerprint Detection]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Fingerprint Image Processing AI]]></category>
		<category><![CDATA[Fingerprint Pattern Analysis Machine Learning]]></category>
		<category><![CDATA[Fingerprint pattern classification]]></category>
		<category><![CDATA[Fingerprint pattern classification using Deep Learning]]></category>
		<category><![CDATA[Fingerprint Recognition Deep Learning]]></category>
		<category><![CDATA[High-accuracy Fingerprint Identification]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Neural Networks for Fingerprint Analysis]]></category>
		<category><![CDATA[NN]]></category>
		<category><![CDATA[tinyML]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/fingerprint-pattern-classification-using-deep-learning/</guid>

					<description><![CDATA[<p>Photo by Manu Designer on Dribbble Fingerprint, as a unique feature of each person, can be divided into different types. In this project, we identify real fingerprints pattern and classify them with convolutional neural networks(CNN). Dataset The dataset is the original NIST 8-Bit Gray Scale Images of Fingerprint Image Groups(FIGS). It comprises 4000 images that are [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/fingerprint-pattern-classification-using-deep-learning/">Fingerprint pattern classification using Deep Learning</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
		<item>
		<title>Heart Disease Prediction using Neural Networks</title>
		<link>https://www.ai-tech.systems/heart-disease-prediction-using-neural-networks/</link>
		
		<dc:creator><![CDATA[AITS Admin]]></dc:creator>
		<pubDate>Wed, 16 Nov 2022 10:30:06 +0000</pubDate>
				<category><![CDATA[Blog]]></category>
		<category><![CDATA[AI Algorithms for Heart Health]]></category>
		<category><![CDATA[AI and Machine Learning in Heart Disease Prediction]]></category>
		<category><![CDATA[AI Cardiac Diagnostics]]></category>
		<category><![CDATA[AI for Cardiology]]></category>
		<category><![CDATA[AI Healthcare Solutions for Heart Disease]]></category>
		<category><![CDATA[AI Predictive Models in Healthcare]]></category>
		<category><![CDATA[Artificial Intelligence in Heart Disease]]></category>
		<category><![CDATA[best algorithm for heart disease prediction]]></category>
		<category><![CDATA[Cainvas Platform]]></category>
		<category><![CDATA[Cardiovascular Disease Detection AI]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Classifier]]></category>
		<category><![CDATA[CNN]]></category>
		<category><![CDATA[CNN Architecture]]></category>
		<category><![CDATA[Convolutional Neural Network]]></category>
		<category><![CDATA[Deep Learning]]></category>
		<category><![CDATA[Deep Learning Heart Disease Prediction]]></category>
		<category><![CDATA[Deep Learning Model]]></category>
		<category><![CDATA[Deep Neural Networks Cardiology]]></category>
		<category><![CDATA[DeepC]]></category>
		<category><![CDATA[Detection]]></category>
		<category><![CDATA[embeddedML]]></category>
		<category><![CDATA[Heart Disease Prediction]]></category>
		<category><![CDATA[Heart Disease Prediction AI]]></category>
		<category><![CDATA[Heart Disease Risk Assessment AI]]></category>
		<category><![CDATA[Keras]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[Machine Learning Heart Disease Diagnosis]]></category>
		<category><![CDATA[Machine Learning Models for Heart Disease]]></category>
		<category><![CDATA[Microcontroller Machine Learning]]></category>
		<category><![CDATA[Neural Network]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<category><![CDATA[Neural Networks for Cardiac Disease Prediction]]></category>
		<category><![CDATA[Neural Networks in Healthcare]]></category>
		<category><![CDATA[NN]]></category>
		<category><![CDATA[Parkinson's Disease detection]]></category>
		<category><![CDATA[Prediction]]></category>
		<category><![CDATA[prediction of heart disease]]></category>
		<category><![CDATA[tinyML]]></category>
		<category><![CDATA[TinyML Devices]]></category>
		<category><![CDATA[Using Neural Networks to Predict Heart Disease]]></category>
		<guid isPermaLink="false">https://www.ai-tech.systems/heart-disease-prediction-using-neural-networks/</guid>

					<description><![CDATA[<p>Photo by Diana Pasternak on Dribbble Heart disease refers to any condition affecting the heart. There are many types, some of which are preventable. Share on Pinterest mikroman6/Getty Images. Unlike a cardiovascular disease, which includes problems with the entire circulatory system, heart disease affects only the heart. This project will focus on predicting heart disease using [&#8230;]</p>
<p>The post <a href="https://www.ai-tech.systems/heart-disease-prediction-using-neural-networks/">Heart Disease Prediction using Neural Networks</a> appeared first on <a href="https://www.ai-tech.systems">AI Technology &amp; Systems</a>.</p>
]]></description>
		
		
		
			</item>
	</channel>
</rss>
