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Natural Awakenings Twin Cities June 2023

Read the June 2023 edition of Natural Awakenings Twin Cities magazine. This is our annual Men's Health Issue which features articles on taking conscious fatherhood, sexual vitality at every age, choosing sustainable stocks and mutual funds, living healthy to 100 and beyond, water consumption, rise in children with autism, artificial intelligence and so much more! Be sure to check out our local content, including News Brief announcements, Community Resource Guide with providers throughout the metro who can meet your individual wellness needs, and all the happenings in the Calendar of Events. There is additional online-only content that can be found at NATwinCities.com.

Read the June 2023 edition of Natural Awakenings Twin Cities magazine. This is our annual Men's Health Issue which features articles on taking conscious fatherhood, sexual vitality at every age, choosing sustainable stocks and mutual funds, living healthy to 100 and beyond, water consumption, rise in children with autism, artificial intelligence and so much more!

Be sure to check out our local content, including News Brief announcements, Community Resource Guide with providers throughout the metro who can meet your individual wellness needs, and all the happenings in the Calendar of Events. There is additional online-only content that can be found at NATwinCities.com.

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Artificial Intelligence That<br />

Can See With the Mind’s Eye<br />

A team of<br />

researchers<br />

from the<br />

National<br />

University<br />

of Singapore,<br />

the<br />

Chinese<br />

University<br />

of Hong<br />

Kong and<br />

Stanford<br />

University are using artificial intelligence (AI) to decode<br />

human brain scans and determine what a person is picturing<br />

in their mind.<br />

Participants underwent brain scans using a functional<br />

magnetic resonance imaging (fMRI) machine<br />

while looking at more than 1,000 pictures, such as a red<br />

firetruck, a gray building and a giraffe eating leaves.<br />

This fMRI data was processed by an AI model for roughly<br />

20 hours per patient, as it trained to associate certain<br />

brain patterns with the different images.<br />

To test the learning capabilities of the AI model, the<br />

subjects were then shown new images while undergoing<br />

fMRI. Upon reviewing the brain waves, the AI<br />

system generated a shorthand description of each person’s<br />

brain state and sketched its best-guess facsimile<br />

of the image the participant saw. The AI-generated<br />

image matched the attributes (color, shape and other<br />

details) and semantic meaning of the original image<br />

approximately 84 percent of the time. Researchers<br />

believe that in a decade the technology could be used<br />

on anyone, anywhere.<br />

photo courtesy of Wikipedia<br />

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<strong>June</strong> <strong>2023</strong><br />

11

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