to optimize the operation of its products. GE says digital twins are increasing the amount of electricity wind farms
produce by as much as 20 percent and
reducing annual fuel consumption and
carbon emissions for one of its locomotives by 32,000 gallons and 174,000
tons a year, respectively. More than
700,000 models have been delivered
to clients, a number that could exceed
one million by the end of this year.
The technology depends on artificial intelligence to continually update
itself. What’s more, if data is corrupted
or missing, the company fills in the gaps
with the aid of machine learning, a type
of AI that lets computers learn without
being explicitly programmed, says Colin
Parris, GE Global Research’s vice president for software research. Parris says
GE pairs computer vision with deep
learning, a type of AI particularly adept
at recognizing patterns, and reinforcement learning, another recent advance
in AI that enables machines to optimize
operations, to enable cameras to find
minute cracks on metal turbine blades
even when they are dirty and dusty.
Top: GE scientists have been studying and
adapting changing technology for decades.
In this photo from April 18, 1968, a GE systems
engineer mans the telex link of a Student
Response System at Syracuse University.
The computer analyzed the answers given
by students to multiple-choice questions and
relayed them back to the teacher.
And on March 20, 1969, GE researchers stud-
ied the flow of gases, invisible in their natural
state, by creating simulations on a device called
a working water table, where currents were
observed through the use of dyes. F O