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"AI is the ability of a machine to display human-like traits, such as reasoning, learning, planning and creativity.” Definition from the European Parliament
Artificial Intelligence (AI) has become an increasingly popular topic in recent years, as advances in technology have allowed us to create machines that can perform tasks that were previously only possible for humans. At its core, AI refers to the ability of machines to learn and make decisions based on data, without being explicitly programmed to do so.
While the concept of AI has been around for decades, it is only in recent years that we have seen significant progress in its development. In the early days of AI, researchers focused primarily on developing rule-based systems that relied on explicit programming to perform tasks. However, the limitations of this approach became increasingly clear, and researchers began to explore other approaches, such as machine learning. AI has made significant progress in recent years, but there is still much work to be done. One of the biggest challenges facing the field is the need for more data and better algorithms to make sense of that data. As AI continues to develop, it is likely that we will see even more advances in this exciting and rapidly evolving field.
What AI is in the Framework of Stella Polaris?
Within the framework of the Stella Polaris project, we have chosen to use a generous definition of what AI is. We want to explore broadly in order to be able to narrow down rather than delimit too much too soon. If within the project we identify relevant but non-AI related solutions to a problem, we can proceed with the issue at Childhood even if it no longer falls within the framework of Stella Polaris.
Further reading:
Articles and Reports for Further Reading
Natural Language Processing 
Data Analysis 
Machine Learning
Deep Learning
Neural Networks
Robotics
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