Category: General articles

The history of programming languages for artificial intelligence (AI) is a fascinating journey filled with innovations and discoveries that have shaped what we know about AI today. Programming languages such as LISP, Prolog, and Python have played crucial roles in the development and advancement of this complex field. The beginnings are lost in the dawn…

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In the 2024 European Football Championship, held in Germany, artificial intelligence (AI) plays a significant role in improving the fairness and accuracy of on-field decisions. VAR (Video Assistant Referee) assists referees in making decisions by reviewing video footage. Artificial intelligence rapidly and efficiently analyzes video sequences, providing recommendations to human referees and helping identify fouls,…

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Machine learning, a central field of artificial intelligence (AI), has undergone remarkable evolution over the decades, from initial concepts to today’s sophisticated neural networks. This historical journey provides valuable insight into technological progress and the ingenious solutions developed to overcome technical obstacles. Beginnings: The Perceptrons. The first major step in the development of machine learning…

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The launch of ChatGPT 4o by OpenAI on May 13, 2024, marks a revolutionary moment in the evolution of artificial intelligence. This new model brings remarkable technological innovations, designed to transform the way we interact with AI in our daily lives. Superior Understanding Capability. One of the most impressive features of ChatGPT 4o is its…

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This topic explores the contributions of the individuals who laid the groundwork for artificial intelligence (AI). Their stories offer insight into the initial motivations and challenges in the field. Alan Turing (1912-1954) Born in London, Alan Turing was a mathematician, logician, and cryptanalyst. Turing’s work during World War II on breaking the German Enigma machine…

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Open-source and closed-source AI represent two different approaches to the development and distribution of artificial intelligence technologies. Here are the key differences between them: Open-source AI Accessibility: Open-source AI software is freely available to anyone. Users can access, modify, and distribute the source code without restrictions. Collaboration: It typically involves a community-based development model. Developers…

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Synthetic data generation in AI is a crucial technique that plays a pivotal role in various domains and applications. It involves the creation of artificial data that closely resembles real-world data, even though it is not derived from actual observations or measurements. This synthetic data is generated using a range of sophisticated algorithms, statistical models,…

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AI agents are diverse and sophisticated tools in the field of artificial intelligence, each with unique characteristics and applications. Reactive agents operate based on current inputs without learning from past experiences, making them suitable for simple tasks like basic robotics or video game decision-making. Model-based agents, equipped with an internal model of the environment, excel…

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We revisit the topic of Large Language Models (LLM), which is a critical subject for understanding the foundation of artificial intelligence (AI), and we examine it in more technical detail without exceeding a basic level of understanding. Large Language Models (LLM) are advanced artificial intelligence systems created to understand and generate text in a manner…

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Multimodal AI is a branch of artificial intelligence (AI) that deals with the handling and analysis of data from multiple modalities or sources, such as text, images, sound, video, tactile sensations, and more, to develop more complex and interconnected machine learning models and systems. The concept of multimodality focuses on integrating and concurrently understanding information…

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