CORDIS Project
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This project aims to advance Explainable Artificial Intelligence by applying principles from computational neuroscience. It focuses on understanding how artificial neural networks make decisions and seeks to improve the transparency and efficiency of AI systems.
Recent progress in artificial intelligence (AI) has been mostly due to machine learning and, in particular, deep artificial neural networks (ANNs).
Deep learning has an increasing presence in everyday life, including critical applications such as medical diagnosis, transportation, and energy distribution.
In response to this, the field of Explainable AI (XAI) has generated much effort in terms of techniques and algorithms to address this problem.
However, there is still no consensus on a suite o…
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