Neural Architecture Search (NAS) belongs to the category of artificial intelligence and digital transformation. NAS describes an automated process in which artificial intelligence (AI) independently finds the best structure for neural networks. Instead of humans laboriously trying out how an artificial brain is best structured, NAS takes over this task.
This works in a similar way to a search for the best blueprint. The AI tests many different compositions of layers and connections in order to optimise a neural network for a specific task. This saves a lot of time and human labour because the process is automated.
An illustrative example: a company wants to develop an AI model that automatically recognises and categorises product images. Instead of spending months testing different models manually, it relies on Neural Architecture Search. The NAS technology tries out different networks and ultimately delivers a particularly well-functioning design - and in a much shorter time.
Neural Architecture Search enables companies to develop powerful AI solutions quickly and efficiently without the need for in-depth AI expertise. This makes modern artificial intelligence more accessible for many industries and accelerates digital transformation.
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