Welcome to the tag category page for Neuron!
A generated image is an image that is created by a computer. CGI, or computer-generated imagery, is the use of computer graphics to create or contribute to images in art, printed media, video games, simulators, and visual effects in films, television programs, shorts, commercials, and videos. AI images are pictures generated through artificial intelligence software. Basically, digital images are created out of thin air from a text prompt. DALL-E is a artificial intelligence tool that's able to render text into realistic images. It is now available to the public after being developed by OpenAI.
A graph neural network (GNN) is a type of artificial neural network (ANN) designed to process and analyze data represented in graph form. GNNs operate on the entire graph structure, including nodes, edges, and global context, allowing them to preserve graph symmetries. They are a type of deep learning method capable of performing inference on data described by graphs, and can be applied to a wide range of domains. While similar to other neural network architectures, GNNs have unique features that set them apart, including the ability to process non-Euclidean structured data, as well as overcoming difficulties specific to processing graphs, such as vanishing gradients and overfitting. GNNs are also differentiated from other graph-based neural networks, such as graph convolutional networks (GCNs), by their use of shared weights in each recurrent step. Overall, GNNs represent a powerful tool for deep learning on complex and structured data.
AI and machine learning are often used interchangeably, but machine learning is a subset of the broader category of AI. Machine learning enables a machine or system to learn and improve from experience without being explicitly programmed. AI encompasses the idea of a machine that can mimic human intelligence, while machine learning aims to teach a machine how to perform a specific task and provide accurate results by identifying patterns. AI has a very wide range of scope, while machine learning has a limited scope. Pursuing a career in AI and machine learning can lead to high-paying jobs in fields such as machine learning engineering, data science, NLP science, business intelligence development, or human-centered machine learning design.
