Cluster analysis or clustering is a statistical classification technique or activity that involves grouping a set of objects or data in such a way that those contained in the same group (cluster) will be similar to each other but different from those in the other group. It is required for data mining and exploration, and is commonly used in the bioinformatics industry and other sectors within the scope of machine learning, pattern recognition, image analysis, and analyzing large datasets.
Cross-Attention is a powerful mechanism for sharing information between different datasets or different modalities (e.g. text and image) in artificial intelligence, especially in generative AI models.
Digital citizenship is a concept that refers to individuals behaving ethically, responsibly and safely in the digital world (internet, social media, mobile devices).
Zero-shot learning (ZSL) is an AI technique that enables machine learning models to learn tasks or classes they have never encountered before, without any training data.
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