ARTIFICIAL INTELLIGENCE:
THE FUTURE OF
COMPUTING
Consider this
scenario: You are working in a company where all the work which can be done by
human labour is done by robots. Next you come home to find the house all
cleaned and tidied by a machine. Everything is done by just waving your hand or
on the press of a button. No, this not a part of a sci-fi movie and neither a
part of your imagination. This all will be a part of daily life in the next
8-10 years. Don’t believe me? Sorry guys this is true, all thanks to Artificial
Intelligence(AI).
This topic brings
back images in my mind about a movie having the same title. A movie directed by
Steven Spielberg in 2001. The tagline was: ‘His love is real but he is not.’
This is the main objective of scientists and researchers working on AI. That
is, to build smart machines and computers which can understand human emotions
and react to them. So let’s know about AI.
Artificial
intelligence (AI) is the intelligence
exhibited by machines or software. It is also the name of the academic field of
study which studies how to create computers and computer software that are
capable of intelligent behavior.
McCarthy created the term
"artificial intelligence" and was a towering figure in computer
science at Stanford most of his professional life. In his career, he developed
the programming language LISP, played computer chess via telegraph with
opponents in Russia and invented computer time-sharing.
Artificial intelligence gives
machines the ability to solve a problem. The history of artificial
intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings
endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with "an ancient
wish to forge the gods”.The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.
Among the traits that researches hope machines
will exhibit are reseaning knowledge, planning, learning communication,
perception and ability to move and manipulate objects.
Artificial Intelligence research uses tools
and insights from many fields including computer science psychology,
philosophy, neuroscience, cognitive science, linguistics, Ontology, Operation
Research, Economics, control Theory, probability, Optimization, and logic. AI
research also overlaps with tasks such as robotics, control system, scheduling,
data mining, logistics, speech recognition, facial recognition and many others.
ROBOT DOG
Sony’s Aibo robotic dog
was introduced in 1999. It uses advanced computer software to give it abilities
that seem natural. Aibo’s basic instincts are to sleep, explore, exercise, and
play. It can also express joy, sadness, anger, surprise, and fear with lights,
sounds, and gestures. Aibo recognizes its owner and comes when it is called.
FACE RECOGNITION PROGRAM
Face recognition programs
on computers work by measuring prominent features of the face, such as the
pupils of the eyes and the tip of the nose. The distances and angles between
these are different for every face. By looking at enough features, the program
can spot a known face even when the image is poor or the person is disguised.
COG
COG is a robot without
legs that learns how to move by handling objects. Its intelligence comes from
several computer programs that work together like parts of the brain. Rodney
Brooks, director of the Artificial Intelligence Laboratory of the Massachusetts
Institute of Technology in the USA, started the COG project in 1994 to see how
artificial intelligence is affected by experience in the real world.
KISMET
Kismet was one of the
first robots that responded to people in a natural way. It was designed by US
engineer Cynthia Breazeal in 1999. The robot can move its ears, eyebrows,
eyelids, and jaw, and can bend its lips up or down to smile or frown. It also
responds to speech with babbling sounds.
Let’s see some of the emerging trends and interesting
facts about Artificial intelligence and how it will change the
future.
Deep
Learning
The brain’s neural networks are a wonderful
creation. “Deep learning” Typically uses the stimulation of Brain’s neural
networks replicating to neurons neocortex. The stimulation mimics neurons in
the brain. They associates content instead of just analyzing the huge pool of
data and arrive at the final result with great success.
Deep learning can be viewed as a method
that makes a computer solve a problem independently by going through multiple
level of learning. Instead of writing a code that instruct how to solve the
problem. Computer can solve the problem on their own by studing simple basic
concepts. It is much like human understanding where in several hierarchical
levels of cognitive abilities are needed to completely understand a particular
object\thing and relate it to something else in a meaningful way.
Stimulating
Feeling
The virtual face react reacts exactly like
a normal baby would do in real time.It is ground breaking advancement in human
robot interaction. The Nurochemical reactions are stimulated in the baby’s
stimulated brain which in turn drive facial expression. The baby gets upset and
cries if we move out of reach and gets happy if we are around. Oxytocin,
Cortisol & Dopamine levels are stimulated and vary depending on its social
connection. Many such experiments hae been going on that could make human to
robot interaction look more lively and real.
Chewing
Big Data
Big data refer to the collection of huge
amount of data that cannot be processed with conventional database system.
Usually it is a lot of unstructured data. This might include data such as
images, status updates, profile etc that are spread out in the social
networking sites. Google used its deep learning on its vast collection that
made computers to identify pictures on their own.
Blue Brain
Blue Brain aims in
reverse engineering a biological brain & recreates it using a computer
solution. The solution will be accurate at cellular level. The scope of blue
brain project includes improvement in fields of healthcare to advanced
computing & better A.I.
Nuromorphic Approach
Neuromorphic
Engineering aims in replicating the brain but there is a slight difference
between this approach and the ones that use muscular super computers. Neuromorphic
computers are sophisticated computer system
similar in size,
speed and energy consumption to that of human brain. Neuromorphic Engineering
aims in creating electronic circuits that fire nurons.
Mind Uploading
Mind uploading involves
transferring our brain to a digital storage medium and moving conscious memory
from one to another. Although it sounds too fictional, but scientists claims
that humans will be able to upload their entire brain to computers and become
digitally immortal.
Transportation
Traffic is everywhere
even on the internet. To control traffic we use traffic signals. Studies reveal
that traffic signal system controlled by human brain is very efficient
congenital system. Since the human brain is good traffic stuff, researchers are
building “Machine Learning” Artificial Intelligent traffic control system that
could control the traffic efficiently. They also look forward to the future
where vehicles will be equipped with GPS and Wi-Fi to make traffic control a
simple task.
Self Improving A.I.
Since the basic
nature of intelligence allows future creation & invention a super
intelligent system would further evolve through recursive self improvement.
It’s a symbol of strong Artificial Intelligence.
A research
suggests that a computer will be as smart as a human being within this century.
But, what if a machine becomes smarter than we are a day?
Robots can fall in love with you
Debates on AI are hotter than ever these days. Some are thinking that it is a big leap forward for human civilization while some are believing it may be the end of humanity.
Robots can fall in love with you
Debates on AI are hotter than ever these days. Some are thinking that it is a big leap forward for human civilization while some are believing it may be the end of humanity.
Once humans
develop Artificial Intelligence, it would take over on its own and redesign
itself at an ever increasing rate said Stephan Hawking, declaring his concerns
about AI studies during an interview at BBC last year. Some agreed with Hawking
some did not. Nick Bostrom, the director of "Future of Humanity
Institute" at the University of Oxford, points out the risks of AI
studies. He says that machine intelligence is the last thing that human
civilization ever needs to come up with. The common concern of naysayers is
that the trend may eventually end with an initiative takeover by machines for
human life. It seems like science fiction, but it's not a remote possibility
when we look at what is happening right now. There are lots of questions to
answer before achieving a final judgment. The first and maybe the most
important question "Can a machine think?" The question was first
proposed in 1950 by Alan Turing, a British computer scientist and a
mathematician. Turing suggested that if a human being were given a task to
interrogate a human and a computer that are both hidden behind a screen, it is
reasonable to assume that the computer is as conscious as the human being if
the interrogator cannot distinguish the computer from the human being. But this
assumption is highly controversial. Thus passing the "Touring Test"
cannot be concluded as an indication of a genuine intelligence. So what do we
mean by thinking? Thinking is an intentional mental act. Intentionality is the
aboutness of thinking act, and it allows humans to think about whatever they
want. A beautiful girl, a weekend activity, a new business, etc. So there comes
another question: "Do computers have intentionality?" Actually they
don't. They just have a kind of secondary intentionality that allows them to
perform things dictated to them by programmers and users. But what if a machine
decides to promote itself to primary intentionality?