Self-awareness in artificial intelligence and machine learning refers to the ability of a system to have an understanding of itself and its environment, and to adapt and learn according to that understanding.
In other words, self-awareness implies that an artificial intelligence system is able to monitor and evaluate its own performance, identify its strengths and weaknesses, and make adjustments to improve its performance. It may also include the ability to recognise its own limitations and seek additional help or resources when necessary.
In the context of artificial intelligence, self-awareness is seen as an important step towards the creation of more advanced and autonomous artificial intelligence systems, which can adapt and make decisions independently. Self-awareness may also be an important consideration in the ethics of artificial intelligence, as systems that are self-aware may be better able to avoid improper or harmful behaviour.
Fernando Pavón, CEO of Gamco and expert in Artificial Intelligence applied to business explains to us in the AceleraPYMES cycle how small companies can [...]
Read More »It is vital to understand, identify and satisfy customer needs. In this way, our business will be able to offer products and [...]
Read More »The massive implementation of cloud services in companies has transformed the way in which business transactions were carried out, since it has [...]
Read More »Business opportunities are everywhere and many times we do not know which are the sectors with the greatest potential for entrepreneurship.
Read More »
