April 26, 2023, 3:14 p.m. | Rodrigo da Motta

Towards Data Science - Medium towardsdatascience.com

How unsupervised learning can help us detect phase transitions and emergent phenomena?

Photo by William L. Stefanov on NASA-JSC. (Cities growth can be understood as a second-order phase transition and an emergent phenomenon).

This article was inspired by the paper Discovering Phase Transitions with Unsupervised Learning by Lei Wang [1].

Introduction

One of the most intriguing phenomena within the natural sciences is phase transition or critical phenomena, which can usually be seen in the transition between states of matter …

complex systems dimensionality-reduction emergence principal-component unsupervised unsupervised learning

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne