Posts by Laurel

Area of Speciality: Extracting and isolating ephemeral natures embedded in the flux between past events and future time. Erudite in somatic systems and their relationships to the cognitive development of auditory and visual aesthetics. Joined the Foundation in 1996.

4 New Screen T’s and They’re Bangers!!!

After copious amounts of research in the field, we’re excited to inform you that wearing one of these new Imaginary t-shirts will:

• Allow you to solve 2nd order partial differential equations in your head.

• Spontaneously create 4 dimensional images of nano structures that you can mentally manipulate.

• Cause you to dissolve into the infinite living moment utterly absorbed by unspeakable intelligence.

• Let you contemplate the marvel that is existence and rejoice that you are able to do so.*

View them all here.

*Results may vary. Some additional catalysts maybe necessary. Whatever happens, we guarantee you will look good doing it.

Imaginary Foundation Apparel Featured In SciFest Dubai Fashion Show

The SciFest Dubai fashion show is one like no other. The theme is science and models get the opportunity to showcase their own science-themed clothing or Imaginary Foundation outfits. The aim is to learn about science through fashion and fabric art. The idea is to reach out to people who arenít normally interested in formulas, equations, and lab science and instead celebrate the fusion of art, fashion and science. The Imaginary Foundation makes the most exquisite t-shirts, hoodies, and outfits that have awe-inspiring images of the brain, the universe, famous scientists, and science fiction. The fashion show is an excuse to learn about the wonders of science through the art on the fabric.

View Source

A Smart-Object Recognition Algorithm That Doesn’t Need Humans

Artificial Intelligence - A smart-object recognition algorithm that doesn’t need humans

(Credit: BYU Photo)

BYU engineer Dah-Jye Lee has created an algorithm that can accurately identify objects in images or video sequences — without human calibration.

“In most cases, people are in charge of deciding what features to focus on and they then write the algorithm based off that,” said Lee, a professor of electrical and computer engineering. “With our algorithm, we give it a set of images and let the computer decide which features are important.”



Kirt Lillywhite, Dah-Jye Lee, Beau Tippetts, James Archibald, A feature construction method for general object recognition, Pattern Recognition, 2013, DOI: 10.1016/j.patcog.2013.06.002