(courtesy Sundance Institute) An
image from the artificial intelligence work Frankenstein AI: A Monster Made by Many, by Lance Weiler, Nick Fortugno and Rachel Ginsberg.
(courtesy Sundance Institute) An
image from the artificial intelligence work Frankenstein AI: A Monster Made by Many, by...
Not exact matches
Researchers
from MIT's computer science and
artificial intelligence laboratory have discovered how to trick Google's (goog) software that automatically recognizes objects in
images.
Three such examples are Aimsio, a digital ticketing software that streamlines field operations by enabling users to file reports, dispatch resources and track project progress all
from one central location; DarkVision, which developed a new ultrasound technology that allows companies to create 3D
images of the inside of oil wells, enabling them to make more informed and cost - effective production decisions; and Unsist, which uses
artificial intelligence to help oil and gas companies make better production and operational choices.
The global race for AI chip dominance heats up: We're seeing a Cambrian explosion of applications for
artificial intelligence,
from recognizing faces in videos for security purposes to detecting diseases in medical
images at scale.
Timothy Brady, a grad student who worked on the study, says it «suggests that for something like
artificial intelligence for surveillance cameras, it's smarter and more brainlike to choose
from a bunch of
images to recognize something, rather than just analyzing the shape.»
Army researchers have developed an
artificial intelligence and machine learning technique that produces a visible face
image from a thermal
image of a person's face captured in low - light or nighttime conditions.
Trevor Paglen's A Study of Invisible
Images is the first exhibition of works to emerge from his ongoing research into computer vision, artificial intelligence (AI) and the changing status of i
Images is the first exhibition of works to emerge
from his ongoing research into computer vision,
artificial intelligence (AI) and the changing status of
imagesimages.
Formed over years of collaboration with software developers and computer scientists, this body of work is the first to emerge
from Paglen's ongoing research into computer vision,
artificial intelligence, and the changing status of
images.
His new works reveal not only a new type of
image made by
artificial intelligence, but also a new structure of power asserted by those that benefit
from these «invisible»
images.