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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…
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 catalogue them according to certain parameters. In this article, we’ll explain exactly how named entity…
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…
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…
Ahmet MisirligulshutterstockArtificial intelligence is playing a key role in more and more areas, especially when it comes to images. In image recognition, for example, specialised AI helps to quickly and reliably capture, analyse and classify certain image content. Find out how AI image recognition works…
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.
sakkmesterkeshutterstockMore efficient workflows, scalable data analytics and a cost-effective IT operation—this is exactly the aim of AIOps (Artificial Intelligence for IT Operations). By utilising various AI-driven tools, you can improve the performance, monitoring and scalability of your IT…
ElnurshutterstockCode can deteriorate, especially when the SOLID principles of object-based programming are not adhered to. These principles represent the five golden rules for maintaining clean and better code. Thanks to their specific laws and guidelines, they enable an easily understandable…