What Makes Pattern Computer Different?

What Makes Pattern Computer Different?

Nearly all Artificial Intelligence (AI) and Machine Learning (ML) companies use a collection of known techniques to be able to recognize specific things, such as cars, road signs, faces and songs. Similar methods allow prediction of outcomes such as sports scores, insurance rates, and risk calculations, based upon known historical data.

By contrast, Pattern Computer finds things that have not been found before. We find patterns in datasets that are generally too large or computationally complex for patterns to be discovered. We find what others cannot. That may be a pattern behind a specific cancer, a collection of sensor readings indicating premature part failure, or the operational patterns causing flight departure delays. Once we have discovered the key features of the pattern, we create an accurate mathematical model of the response.

Read the paper here.