Deep learning is a sub-discipline of artificial intelligence and machine learning that focuses on the use of multi-layered artificial neural networks (called deep neural networks) to model and solve complex problems.
Inspired by the structure and function of the human brain, deep learning enables machines to learn from large quantities of unstructured data (images, text, sound) by automatically extracting relevant features without the need for human intervention.
This technology has revolutionised sectors such as healthcare, finance and transport, thanks to its ability to handle tasks that were previously inaccessible to traditional algorithms.
A virtual assistant is an advanced type of conversational agent that uses artificial intelligence to provide personalised, proactive assistance to a user.
Although it shares similarities with conversational agents in general, a virtual assistant is distinguished by its ability to perform a wider range of tasks, understand complex contexts, learn from the user's preferences and anticipate their needs. Virtual assistants can interact by text, voice or a combination of both, and are designed to simplify the user's life by automating tasks, providing information and offering personalised assistance.
A voice assistant is a software programme using artificial intelligence, combining natural language processing (NLP), voice recognition and speech synthesis to interact with users via voice commands. These...
Bias in artificial intelligence (AI) refers to the tendency of an algorithm to produce biased results or decisions, favouring or disfavouring certain groups or individuals.
It reflects human biases or structural flaws in data, learning methods or the design of AI models. These biases can lead to unfair, discriminatory or inaccurate decisions, affecting specific groups or individuals disproportionately.
