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generated images based on generated images based on generated sound...

"Desperta" (Wake Up) is an audioreactive abstract video-poem based on the poetry book "Poemes a Nai" written by the Majorcan poet Miquel Angel Riera.

 

Its visuals and animation has been coded using Java + Processing + Minim, and it uses FFT audio analysis to animate the oscillation, volume, size and colors from a generative blanket.

 

Music was composed by the band "En Dejú" intentionally for an exhibition titled "Reversos" (Re-verses) based on poems written by the poets M.A. Riera and Jaume Vidal Alcover. It took place in the museum "Torre de Ses Puntes" (Manacor) in 2016 October.

 

vimeo.com/190556568

Oh, on voit mes lfo...

generative design - compositions

based on geometric forms and small patterns

This is a first go at a basic animation using unsharp masking and Gaussian blurring in ImageJ.

This piece appears to be reappropriating parts of Thunderbird, Firefox (notice the brown PMOG extension bar), and iTunes.

Generative single circle string with color pattern

Thanks to Javier Graciá Carpio

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

Generative pattern

An inage I generated by writing code in the Processing programming language.

Thanks to Javier Graciá Carpio

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

scaling and new motion added.

In recent decades, developments in software and hardware technologies have created dramatic shifts in design, manufacturing and research. Software technologies have facilitated automated process and new solutions for complex problems. Computation has also become a platform for creativity through generative art and design. New hardware platforms and digital fabrication technologies have similarly transformed manufacturing, offering more efficient production and mass customization. Such advances have helped catalyzed the maker-movement, democratizing design and maker culture. This influx of new capabilities to design, compute and fabricate like never before, has sparked a renewed interest in material performance.

 

We are now witnessing significant advances in active matter, 3D/4D Printing, materials science, synthetic biology, DNA nanotechnology and soft robotics, which have led to the convergence of software, hardware and material technologies and the growing field of programmable materials.

 

This conference was about the emerging field of active matter and programmable materials that bridges the worlds of art, science, engineering and design, demonstrating new perspectives for computation, transformation and dynamic material applications.

 

If over the past few decades we have experienced a software revolution, and more recently, a hardware revolution, this conference aims to discuss the premises, challenges and innovations brought by today’s materials revolution. We can now sense, compute, and actuate with materials alone, just as we could with software and hardware platforms previously. How does this shift influence materials research, and how does it shape the future of design, arts, and industrial applications? What tools and design processes do we need to advance, augment and invent new materials today? What are the key roles that industry, government, academic and public institutions can play in catalyzing the field of programmable materials?

 

This two-day conference consisted of a range of talks and lively discussion from leading researchers in materials science, art & design, synthetic biology and soft-robotics along with leaders from government, public institutions and industry.

 

Learn more at activemattersummit.com

 

All photos ©L. Barry Hetherington

lbarryhetherington.com/

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Generative piece created in processing and digitally manipulated.

Several sheets of heavy paper, folded, arranged

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.

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