Neural Architecture Search (NAS) is an area of artificial intelligence that focuses on automating the design of artificial neural networks. It uses machine learning to find the best architecture for a neural network, optimizing for performance metrics such as accuracy, efficiency, and speed.

• Computer Vision
• Natural Language Processing
• Robotics
• Reinforcement Learning
• Speech Recognition

For example, NAS could be used to design an optimal neural network architecture for image classification tasks, by training a search agent to explore the space of possible architectures and identify the one that performs best on a given dataset.

• The role of data architecture in your data strategy