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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.
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
My generative artwork for Written Images: a project in contemporary generative print design and art. Its final products will be a book that presents programmed images by various artists. Each print in process will be calculated individually – which makes every single book unique. www.writtenimages.net/
// HACKPACT
// Showcase of 20 brief experiments (sound machines) we coded during november (MMXI).
// All of them explore the sound/graphic co-relation.
// Built with Processing and almost all of the audio with SuperCollider
// More info/detail about our codes here: www.realitat.com/HACKPACT