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Author: Simone Raponi

Hallucination in Artificial Intelligence: Between Strange and Disturbing Errors

Hallucinating, for a human, means perceiving things that aren’t actually present in our environment. When we talk about “hallucinations” in artificial intelligence (AI), we’re referring to a situation in which an AI model “sees” or “interprets” something that isn’t actually present in the data . But how can a machine “hallucinate”? Let’s find out. An artificial intelligence model, like a neural network, somewhat emulates the functioning of neurons in the human brain. These models learn from large volumes of data and, through this learning, develop the ability to perform tasks such as recognizing images, interpreting language, and much more. An AI model

Difference between a classical algorithm and an AI software

In the digital age we live in, artificial intelligence (AI) is gaining increasing attention. But what distinguishes a classical algorithm from AI software? In this article, we’ll explore the differences between these two concepts in a simple and accessible way, even for those who aren’t computer experts. Classical algorithm A classical algorithm can be described as a series of precise, sequential instructions that a computer follows to solve a given problem. For example, imagine a classical algorithm for sorting a list of numbers in ascending order. One of the classical (but inefficient) methods we study in college is called “Bubble Sort,” which

What is a neural network? Discover the technology behind artificial intelligence.

In the contemporary technological landscape, one term stands out: neural network. The foundation of artificial intelligence, neural networks represent the future of how we interact with technology. But what exactly is a neural network? Let’s start our journey. Definition of a neural network A neural network is a computational model inspired by the functioning of the human brain . This similarity is not limited to a simple metaphor: just as our brain is composed of interconnected neurons, a neural network is composed of computing units, or “artificial neurons,” organized into different layers. Each neuron receives input data, performs a series of calculations

Introduction to Convolutional Neural Networks

In the ever-expanding world of artificial intelligence (AI), there is a revolutionary technology that has changed the way machines “see” and “understand” the world around them: Convolutional Neural Networks (CNNs). These powerful algorithms have opened new frontiers in computer science, making possible what was once considered science fiction. But what exactly are CNNs and how do they work? Get ready to discover all this in our journey through the history, fundamental concepts, and applications of this fascinating technology. The History of Convolutional Neural Networks Convolutional Neural Networks, like many of humanity’s greatest inventions, didn’t happen overnight. Their development began in the 1980s