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Artificial intelligence (AI) in mortgage adoption is growing. According to a 2022 survey, 49% of mortgage companies expect AI to help reduce headcount; 20% said that mortgage AI/ML would significantly trim their payroll. Indeed, the technology has widespread applications in financial services, from enabling more intuitive mortgage RPA to improving borrower experiences.

 

What’s more, advancements in mortgage AI/ML show no signs of stopping. From basic data analysis, we have progressed towards ideas like individual artificial intelligence (a combination of machine algorithms and human brain synapses) and adaptive AI. These can perform much more than high-volume data processing and predictions. Adaptive AI, in particular, has the potential to be the defining mortgage technology of our time due to its incredible flexibility.

A screen cap from my generative animation Dancing Wu Wei.

toxiclibs DLA study

100.000 particles

 

continousGrowthRatio = 1

stickiness = 1

curveSpeed = 0

curveAlign = 0

 

changing the stickiness doesn't seem to change much in this setup

Thanks to Javier Graciá Carpio

for the following code: www.openprocessing.org/sketch/51571

A screen cap from my generative animation Dancing Wu Wei.

Due to popular request, here's the sequence of production.

Part3: First render combined with initial file.

Still from an ongoing generative art project. Original animation and source code is at abandonedart.org

Thanks to Javier Graciá Carpio

for the following code: www.openprocessing.org/sketch/51571

Generative art piece built with Processing. View the applet at justinlivi.net/dancingsine/

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