In the last few years, research in pattern recognition has seen a remarkable shift towards hybrid models that integrate classical statistical methods with state-of-the-art deep learning techniques.

During my research, I delved into a variety of machine-learning techniques and crafted algorithms to uncover intricate patterns and connections within databases.

Inspired by the bee brain, scientists develop a new AI model that could revolutionize how machines learn, adapt, and perceive ...

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...

The reason this is important for the fields of blockchain and AI, specifically, is because neuromorphic computers are fundamentally suited for pattern recognition and machine learning algorithms.