IEEE Signal Processing - July 2018 - 5

president's message
Ali H. Sayed | IEEE Signal Processing Society President | ali.sayed@epfl.ch

Intelligent Machines and Planet of the Apes

I

love the last scene from the movie Planet of the Apes (1968), which revealed
how the human race destroyed its beau-
tiful planet only to be overtaken by intel-
ligent apes. In that movie, humans were
the victims of their own intelligence.
Today, we live in the midst of media
frenzy with almost daily reminders about
the possibility of humans being over-
taken by intelligent machines. Notables
like the late physicist Stephen Hawk-
ing (1942-2018) and entrepreneur Elon
Musk of Tesla and SpaceX fame have
issued dire warnings about the existen-
tial danger posed to our way of life by
the evolution of artificial intelligence
(AI). Microsoft founder and philanthro-
pist Bill Gates has been on both sides of
the issue, warning about its dangers in
one instance and embracing its potential
in another. In my view, Gates' position
is the correct one. There is immense
potential in the field, with so much good
that can be done for society at large,
but there are also dangers and impor-
tant ethical questions. Google's recent
illustration in May 2018 of its digital
assistant's ability to mimic the human
conversational style in a very realis-
tic manner has raised eyebrows about
the danger of using these machines in
deceptive practices.
Many technologies are driving the
progress that we are witnessing in intel-
ligent machines, including advances in

Digital Object Identifier 10.1109/MSP.2018.2834779
Date of publication: 27 June 2018

sive feat primarily using reinforcement-
deep learning and machine learning,
learning techniques. The game of GO is
image processing, speech processing,
particularly challenging given the size of
and computer vision, as well as the avail-
its state space with close to 10170 states;
ability of computing power and storage
capabilities necessary to process massive
compare this value with the estimated
amounts of data. It is no exaggeration to
number of atoms in the universe, which
state that the progress is mainly driven
stands at about 1080. This is, of course,
by the last two technologies, namely,
no indication of the "intelligence" of
advances in computational power and
the AlphaGo machine. Its performance
storage: we now have faster computing
is simply a reflection of a brute force
machines and almost limitless storage
approach to exploration and analysis.
capabilities for vast amounts of data. The
These amazing achievements pro-
foundational theories and algorithms
vide vivid indications of what is possible.
continue to be largely similar to what
They also lend wings to our imagina-
we have known for decades: backpropa-
tion and help drive up expectations,
gation, online learning, reinforcement
sometimes in unrealistic ways. Some
learning, stochastic
of the expectations
algorithms, pattern re-
for AI are likely to
What limits the
cognition, speech and
remain unfulfilled
"intelligence" of the
image processing tech-
machines we are designing for one simple rea-
niques, etc. That is why
son: the supporting
today is the fact that they
much of the eye-catch-
science is still not
can only be as good as the there (and we may
ing headlines about
impressive AI applica-
data used to train them.
not even get there).
tions are emanating
While many AI sys-
from development labs associated with
tems have proven enormously success-
large companies with great resources
ful in a range of applications, we need
to spare on computing and storage such
to recognize that these systems contin-
as Google and its DeepMind affiliate,
ue to be fundamentally "unintelligent."
Facebook, Amazon, Microsoft, IBM,
What we call "artificial intelligence" is
and others. Examples of successful AI
not real intelligence. And what we call
applications include Google Translate,
"deep learning" is not really deep. The
Alexa from Amazon, and powerful
qualification "deep" in deep learning
game machines by DeepMind and IBM
is not referring to a supersized abil-
capable of defeating world champions
ity to learn and think but, rather, to
on their own turf. In 2017, DeepMind's
an architectural structure involving a
AlphaGo playing machine defeated the
multitude of layers in a neural network
world's leading GO player in an impres-
implementation (representing depth).
IEEE Signal Processing Magazine

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July 2018

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Table of Contents for the Digital Edition of IEEE Signal Processing - July 2018

Contents
IEEE Signal Processing - July 2018 - Cover1
IEEE Signal Processing - July 2018 - Cover2
IEEE Signal Processing - July 2018 - Contents
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IEEE Signal Processing - July 2018 - Cover3
IEEE Signal Processing - July 2018 - Cover4
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