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sakkmesterkeshutterstockIn recurrent neural networks, neurons can provide feedback to other neurons in any direction. Results can be used as new input, creating a kind of memory that the network has access to. In this dedicated article, we explain what recurrent neural networks are, how they’re designed…
rangizzzshutterstockThe more complex data sets are, the more difficult it is to extract important information from them. Text mining facilitates the analysis of large data sets and unstructured text data in order to identify keywords, patterns, focal points or meaning structures and make them…
whiteMoccashutterstockIn machine learning, models are trained for a specific task. When you want to apply the skills learned to a different task, transfer learning is an effective approach. The goal is to adapt the knowledge gained from one task to a new one, saving both time and resources. In this…
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…
ImageFlowshutterstockNamed 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…