Technology, Science and Universe
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- Web Governance Description: Web governance refers to the framework for managing and regulating the Internet, encompassing technical, legal, and ethical aspects(...) Read more
- Workplace Inclusion Description: Workplace inclusion refers to the practice of creating a work environment that is welcoming and accessible to all individuals,(...) Read more
- Willingness to Educate Description: Willingness to educate refers to the commitment and readiness to inform and train others about the ethical practices and(...) Read more
- Welfare Framework Description: The 'Welfare Framework' is a structured approach that seeks to assess and improve the wellbeing impacts of artificial intelligence(...) Read more
- Willingness to Reflect Description: Willingness to reflect refers to the ability and willingness to consider and evaluate the ethical implications of artificial(...) Read more
- Welfare Policy Description: The Welfare Policy refers to a set of guidelines and regulations designed to improve the well-being of individuals, especially in(...) Read more
- Willingness to Support Description: Willingness to support in the context of artificial intelligence (AI) ethics refers to the readiness to provide assistance and(...) Read more
- Welfare Evaluation Description: Welfare evaluation refers to the process of analyzing and measuring the impacts that artificial intelligence (AI) technologies have(...) Read more
- Weight Decay Description: Weight decay is a regularization technique used in machine learning that penalizes large weights in a model. Its main goal is to(...) Read more
- WGAN Description: WGAN, or Wasserstein Generative Adversarial Network, is a type of generative adversarial network that relies on the Wasserstein(...) Read more
- Weight Sharing Description: Weight sharing is a technique used in the field of machine learning, especially in neural networks, where multiple parts of a model(...) Read more
- Weighted Loss Description: Weighted loss is a loss function used in the field of machine learning, particularly in training models for classification tasks.(...) Read more
- Weighted Sampling Description: Weighted sampling is a method of sample selection that assigns different weights to observations, allowing some to have a higher(...) Read more
- Word Attention Description: Word Attention is a fundamental mechanism in the field of natural language processing (NLP) that allows deep learning models to(...) Read more
- Word Vector Description: A word vector is a numerical representation of a word in a continuous vector space. This technique allows words to be represented(...) Read more
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