Technology, Science and Universe
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- Gaps in Ethics Description: Ethical gaps in artificial intelligence (AI) refer to areas where ethical considerations are insufficient or nonexistent in the(...) Read more
- Governance Initiatives Description: Governance initiatives in AI ethics are programs designed to establish frameworks and guidelines that ensure the responsible(...) Read more
- Global Ethics Description: Global ethics in the context of artificial intelligence (AI) refers to the study and application of ethical principles that(...) Read more
- Governance Challenges Description: The governance challenges in AI ethics refer to the obstacles faced by organizations and governments when trying to implement(...) Read more
- Good Governance Description: Good Governance in the context of artificial intelligence (AI) ethics refers to the effective and ethical management of AI(...) Read more
- Governance Reviews Description: Governance Reviews in the context of artificial intelligence (AI) ethics refer to systematic assessments of the effectiveness of(...) Read more
- Guidance for Developers Description: The 'Developer Guidance' in the context of artificial intelligence (AI) ethics refers to a set of recommendations and principles(...) Read more
- Gated Recurrent Unit (GRU) Description: The Gated Recurrent Unit (GRU) is a type of recurrent neural network architecture that uses gating mechanisms to control the flow(...) Read more
- Graph Neural Network (GNN) Description: Graph Neural Networks (GNN) are a type of neural network specifically designed to process structured data such as graphs. Unlike(...) Read more
- Gradient Accumulation Description: Gradient accumulation is a technique used in training deep learning models, especially in various types of neural networks. Its(...) Read more
- Gaussian Mixture Model (GMM) Description: The Gaussian Mixture Model (GMM) is a probabilistic model that assumes all data points are generated from a mixture of several(...) Read more
- Graph Convolutional Network (GCN) Description: The Graph Convolutional Network (GCN) is a type of neural network that operates directly on graphs, using the graph structure to(...) Read more
- Generative Adversarial Network (GAN) Description: The Generative Adversarial Network (GAN) is a machine learning framework consisting of two neural networks that compete against(...) Read more
- Gradient Noise Description: Gradient noise refers to the random fluctuations that occur in the gradient estimates during the training process of machine(...) Read more
- Gradient Estimation Description: Gradient estimation is a fundamental method in the field of optimization, used to find the minimum or maximum of a function. This(...) Read more
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