Ever
heard of Robo
Brain, a system that scours the Internet and teaches other
robots
how to think. It
exists!
Back
in 1959, Arthur
Samuel defined machine
learning
as a "field of study that gives computers the ability to learn
without being explicitly programmed". Today, machine learning
has become a reality. In fact, machines are now teaching machines.
It's no longer science fiction.
Machine
learning is
currently
considered a subfield of computer science and
has strong
ties to Artificial
Intelligence
(AI).
Hopefully
you read the recent
article we posted in which the world renowned
theoretical physicist Professor Stephen
Hawking warning that artificial intelligence could end mankind as we
know it.
Machine
Learning
Machine
learning tasks are typically classified into three broad categories -
Supervised
learning, Unsupervised
learning, and
Reinforcement
learning.
In
reinforcement learning,
a computerized
machine
interacts with a dynamic environment without a human
teacher
explicitly telling it what
to do, e.g. driving a car or playing a game.
In
the early days of AI as an academic discipline, some researchers were
interested in having machines learn from data and their focus shifted
from AI to building neural
networks. In the 1990s, as the field of machine learning started
to flourish, the field began narrowing in on solving problems of a more
practical nature - especially with the rapid evolution of robotics
and their use in a growing number of industries.
Machines
Teaching Machines
Twenty
years ago
humans were teaching machines how to 'think'. Today, machine
learning has advanced to the stage where robots are now capable of
teaching themselves how to think - without
human input.
Ever
heard of Robo
Brain, a system that scours the Internet and teaches other robots
how to think. It
already exists!
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