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Ranjit KarmakarshutterstockGenerative adversarial networks (GANs) have the capability to generate highly realistic synthetic data, such as images, text, and even music, with the potential for enhanced results through additional training. We delve into how GANs function, their various applications, and the…
sdecoretshutterstockArtificial intelligence can be incredibly useful in a wide variety of situations. However, setting up and managing your own AI infrastructure can be complex and resource-intensive. That’s where AI as a service comes in as a practical solution. In this article, we’ll explain what…
Named entity recognition (NER) plays a particularly important role in the field of machine learning. This discipline is used to find named entities in texts, mark them and catalog them according to certain parameters. In this article, we’ll explain exactly how named entity…
GorodenkoffshutterstockArtificial intelligence brings significant advancements by automating processes and analyzing data patterns with high efficiency. However, it also introduces numerous challenges, particularly concerning the transparency of decision-making. Explainable AI (XAI) addresses this by…
alphaspirit.itshutterstockIT systems are now deeply integrated into both our daily lives and workplaces. Human-centered computing (HCC) focuses on designing technology around people, exploring how computer systems can better align with human abilities. This dedicated article explains what HCC entails and…
sdecoretShutterstockQEMU is a powerful virtualization and emulation software used in various scenarios, particularly for emulating hardware platforms. Despite some drawbacks, especially in terms of user-friendliness and performance with full emulation, QEMU is an indispensable tool for developers.…
TBStockershutterstockFrom virtual voice assistants like Siri and Alexa to enhancing digital accessibility through voice output functions and automated customer service, the applications of speech synthesis are expanding rapidly. Speech synthesis technology, also known as text-to-speech (TTS), is…
jijomathaidesignersshutterstockFew-shot learning enables AI models to learn efficiently from just a few examples, allowing for accurate predictions even with limited data. This contrasts with most traditional methods that require extensive datasets for training. In the following guide, we will explain how…
ToriashutterstockLong short-term memory technology is particularly important for progress in the field of artificial intelligence. It enables neural networks to store information over a long period of time and to call up and evaluate the stored values at a later point. We’ll explain how long…
sakkmesterkeshutterstockCase-based reasoning (CBR) allows algorithms to apply past experiences to solve new problems by adapting them to new situations. This guide explains what CBR is, how it works, its applications, and its advantages and limitations.