What is the Internet of Things – IoT

The Internet of Things, commonly known as IoT, refers to a network of physical objects or “things” that are connected to the internet and can communicate with each other. These objects can range from everyday household items to sophisticated industrial machines. The key idea behind IoT is that these devices can collect and share data, Read More …

Artificial Neural Networks

Imagine trying to teach a computer to recognize a cat in a picture. You could try to program specific rules – it has whiskers, pointy ears, a tail, etc. But what about a cat curled up in a ball? Or a blurry photo? Rule-based systems struggle with such variations. Artificial Neural Networks (ANNs) offer a Read More …

LSTM – Long Short-Term Memory

Long Short-Term Memory (LSTM) networks are a specialized type of recurrent neural network (RNN) designed to address the limitations of traditional RNNs in processing sequential data. LSTMs have become a cornerstone in the field of artificial intelligence (AI), particularly in applications involving time series prediction, natural language processing, and speech recognition. Understanding LSTMs and their Read More …

RNN – Recurrent Neural Networks

In the realm of Artificial Intelligence, many tasks involve understanding data that unfolds over time or has a sequential structure. Think of comprehending spoken language, predicting stock prices, or even generating music. Traditional neural networks, designed to process independent inputs, often fall short in these scenarios. This is where Recurrent Neural Networks (RNNs) come into Read More …

CNN – Convolutional Neural Networks

Convolutional Neural Networks (CNNs) were inspired by the way the human visual cortex works, CNNs are a specialized type of neural network particularly adept at analyzing and understanding images. They are the engine behind many impressive AI applications, from recognizing faces in photos to powering autonomous vehicles.  Traditional neural networks, while powerful, can struggle with Read More …

RAG: Giving AI a Better Memory

Imagine you’re trying to answer a tough question, but your brain doesn’t have the specific information. What do you do? You probably look it up – maybe on the internet or in a book. Retrieval-Augmented Generation, or RAG, is a way to give AI models a similar ability.  Think of a powerful AI language model as Read More …

AZ 900 – Part II – Architecture & Security II

Microsoft Azure is a powerful cloud computing platform that provides a wide range of services and resources for building, deploying, and managing applications and services through Microsoft-managed data centers. Understanding the structure of Azure is essential for effectively utilizing its capabilities. Key components of Azure’s organizational structure include subscriptions, management groups, resource groups, and resources. Read More …

NLP – Natural Language Processing

Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and humans through natural language. The primary goal of NLP is to enable machines to understand, interpret, and generate human language in a way that is both meaningful and useful. This capability has led to the development of Read More …

CDN – Content Delivery Network

A Content Delivery Network (CDN) is a distributed network of servers strategically located across various geographic locations. Its primary purpose is to deliver web content, such as images, videos, stylesheets, and scripts, to users more efficiently and quickly. By caching content on multiple servers, a CDN reduces the distance data must travel to reach end-users, Read More …