Technology, Science and Universe
p
- Principles Description: Principles in AI ethics are fundamental truths or propositions that serve as the foundation for a system of beliefs or behaviors(...) Read more
- Proactivity Description: Proactivity in AI ethics refers to the practice of anticipating and addressing ethical issues before they arise. This approach(...) Read more
- Pathways Description: The 'Pathways' in artificial intelligence (AI) ethics refer to the different approaches or methods that can be adopted to ensure(...) Read more
- Public accountability Description: Public accountability refers to the obligation of organizations, whether governmental or private, to be accountable to the public(...) Read more
- Public engagement Description: Public engagement refers to the process of involving citizens in decision-making and discussions about artificial intelligence (AI)(...) Read more
- Public trust Description: Public trust refers to the perception and belief that society has in institutions, organizations, and technologies, especially in(...) Read more
- Policy Advocacy Description: Policy advocacy in the context of artificial intelligence (AI) ethics refers to the act of promoting and advocating for specific(...) Read more
- Plotting Description: Plotting is the process of creating a graphical representation of data, allowing for clear and understandable visualization of(...) Read more
- Pooling Layer Description: A pooling layer is a layer in a convolutional neural network (CNN) that performs pooling operations to reduce the dimensionality of(...) Read more
- PyTorch Lightning Description: PyTorch Lightning is a lightweight wrapper around PyTorch designed to facilitate high-performance artificial intelligence research.(...) Read more
- Pre-trained Models Description: Pretrained models in deep learning are architectures that have been previously trained on large datasets, such as ImageNet for(...) Read more
- Pytorch Geometric Description: PyTorch Geometric is a library designed to facilitate deep learning on irregular data structures, such as graphs. This tool(...) Read more
- Pytorch Ignite Description: PyTorch Ignite is a high-level library designed to facilitate the training of neural networks in PyTorch. Its main goal is to(...) Read more
- PyTorch Hub Description: PyTorch Hub is a repository of pretrained models designed to facilitate research and development in the field of machine learning.(...) Read more
- PyTorch Tensor Description: A PyTorch tensor is a multidimensional array that serves as the fundamental data structure in this deep learning library. Similar(...) Read more
SPONSORS
