An algorithm fits the edges of the pattern to a geometric model that the software uses to detect features in the acquired image that match the target pattern. Geometric edge detection is not new: ...

When it comes to DNA analysis, large-scale pattern matching algorithms are constantly being refined to add a performance and efficiency boost to speed the time to result and accordingly, the practical ...

Deep-learning algorithms are excellent at pattern-matching in images; they can be trained to detect different types of cancer in a CT scan, differentiate diseases in MRIs, and identify ...

Such pattern-matching has many application areas, such as in oncology, autonomous driving, ... Ruh argues that this action is only as good as the algorithm coded by the programmers.

A characteristic, machine learning algorithms again are not capable to deliver. Bottom line, an AI needs the ability to collect, conjunct and analyze data inside and across large pools of data sets.