Which technology uses multi-layered neural networks to analyze complex data patterns?

The correct choice is Deep Learning because it specifically utilizes multi-layered neural networks to analyze and learn from complex data patterns. Deep learning architectures are composed of layers of interconnected nodes, or "neurons," which allow the system to learn hierarchical representations of data. This capability makes it particularly effective for tasks involving large datasets and complex patterns, such as image and speech recognition, where traditional algorithms may struggle.

While machine learning is a broader category that includes various techniques for enabling computers to learn from data, deep learning is a subset of machine learning that focuses on neural network-based approaches. Artificial intelligence encompasses all computer systems that can perform tasks that typically require human intelligence, including but not limited to machine learning and deep learning. Foundation models refer to large-scale machine learning models that serve as a base for other tasks, but they might incorporate various approaches, including deep learning methods.

Hence, deep learning's identity as a technology that specifically employs multilayered neural networks to tackle complex data analysis distinguishes it as the most accurate answer in this context.