Technology, Science and Universe
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- AI Regulation Description: AI regulation refers to the legal and regulatory frameworks that seek to establish guidelines for the development and use of AI(...) Read more
- Adoption of AI Description: The adoption of artificial intelligence (AI) refers to the process of integrating AI technologies into various sectors and(...) Read more
- AI Literacy Description: AI literacy refers to the understanding and knowledge necessary to effectively interact with AI technologies. This involves not(...) Read more
- AI Fairness Description: Equity in artificial intelligence (AI) refers to the fundamental principle that AI systems must treat all individuals fairly and(...) Read more
- AI Explainability Description: The explainability of artificial intelligence (AI) refers to the degree to which the decision-making process of an AI system can be(...) Read more
- AI Impact Assessment Description: AI Impact Assessment is a critical process that seeks to analyze and anticipate the potential effects of artificial intelligence(...) Read more
- AI Research Ethics Description: The ethics of artificial intelligence (AI) research refers to the moral considerations and guidelines that should govern the(...) Read more
- AI and Human Rights Description: The intersection of AI technologies and the protection of human rights refers to how artificial intelligence tools and systems can(...) Read more
- AI for Social Good Description: The 'AI for Social Good' refers to the use of artificial intelligence technologies to address social challenges and improve(...) Read more
- AI and Privacy Description: The relationship between artificial intelligence (AI) and privacy is a critical issue in AI ethics, as AI technologies(...) Read more
- AUC (Area Under Curve) Description: The Area Under the Curve (AUC) is a metric used to evaluate the performance of classification models, especially in problems where(...) Read more
- Adagrad Description: Adagrad is an adaptive learning rate optimization algorithm that adjusts the learning rate based on parameter updates. Its main(...) Read more
- Alpha Dropout Description: Alpha Dropout is a regularization technique specifically designed for neural networks that use the Scaled Exponential Linear Unit(...) Read more
- Action Space Description: The 'Action Space' in the context of reinforcement learning refers to the set of all possible actions that an agent can take in a(...) Read more
- Attention Weight Description: The 'Attention Weight' is a coefficient that determines how much focus is given to a particular input in the attention mechanism(...) Read more
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