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

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.

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...

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.

The scientist taught computers to read handwriting and advanced the fields of pattern recognition, computational forensics and machine learning.

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 Ohio Department of Higher Education (ODHE) and Miami University’s College of Education, Health, and Society (EHS) and College of Engineering and Computing (CEC) have partnered to make a new series ...

The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence is ...