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What is Self-supervised learning?

Self-supervised learning is a machine learning approach where models learn patterns and features from unlabeled data without requiring human-labeled annotations. It is commonly used in natural language processing, computer vision, and representation learning to improve AI efficiency.

Data simulation
Data simulation is the creation of virtual datasets that mimic real-world data conditions. It is widely used in AI research, finance, and healthcare to analyze scenarios, optimize decision-making, and reduce risks without exposing sensitive information.
Transformer Model
A Transformer Model is an AI architecture used in natural language processing (NLP) that processes data in parallel rather than sequentially. It powers models like GPT and BERT, enabling state-of-the-art text generation and comprehension.
Medical data breach
A medical data breach is a security incident where unauthorized individuals gain access to confidential health records, patient data, or research information. These breaches can result from cyberattacks, insider threats, or misconfigurations, leading to legal consequences, financial losses, and compromised patient privacy.

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