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PeshkovaShutterstockRobots are becoming increasingly intelligent, and their applications are becoming more diverse and complex. Developments in robotics are experiencing a significant boost in innovation through the integration of artificial intelligence. Embodied AI is already being utilized in…
The package manager Yarn enables you to use and send code even better. We explain how to install Yarn and set it up. We also show you some of the most important commands for getting started with it, as well as a few alternative solutions.
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 catalog 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, specialized AI helps to quickly and reliably capture, analyze 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.