The hyperpersonalization pattern is defined as using machine learning to develop a profile of each individual, and then having that profile learn and adapt over time for a wide variety of purposes ...

One of the most widely adopted of the seven patterns of AI is the Patterns and Anomalies pattern. Machine learning is particularly good at digesting large amounts of data very quickly and identifying ...

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 ...

Technical traders have long searched for distinctive shapes in stock-price charts in order to predict returns. As artificial intelligence systems become better and better at recognizing visual ...

Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.

At last, a use for that industrial knitting machine you bought at a yard sale! Carnegie Mellon researchers have created a method that generates knitting patterns for arbitrary 3D shapes, opening the ...

Jim Crutchfield wants to teach a machine to "see" in a new way, discovering patterns that evolve over time instead of recognizing patterns based on a stored template. It sounds like an easy task – ...

A lithographic (litho) hotspot is a defect on a wafer that is created during manufacturing by a combination of systematic process variation and resolution enhancement technology (RET) limitations.