Artificial
Intelligence (AI), Machine
Learning
(ML),
Robots,
and
the
Internet of Things (IoT) will
help solve some
of the major
challenges the
world is
currently facing in
healthcare, transportation, finance,
defense, manufacturing.
However,
there are also some major issues and risks that come with these
technologies.
This
article attempts to provide a quick, high level overview of
Artificial Intelligence (AI) and Machine
Learning
(ML)
technologies
and
their potential to massively impact and disrupt civilization as we
know it today.
Let’s start with a definition of these two new, related
technologies.
-
Artificial Intelligence (AI) - Refers to intelligence exhibited by machines. In computer science, the term "artificial intelligence" is applied when a machine mimics cognitive functions generally associated with human minds, such as ‘learning’ and ‘problem solving’.
| Artificial Intelligence (AI) is one of the hottest areas of technology research and development. Major corporations like IBM, Google, Microsoft, Facebook and Amazon are investing heavily in this area and are buying up startups that have made progress in areas like machine learning and neural networks. - Datamation |
‘Open
Source’ AI & ML Solutions
The
‘Open
Source’ software
development methodology and business model
is at
the
heart of the
rapid evolution and innovation of Artificial
Intelligence (AI) and Machine Learning
(ML)
technologies
and
solutions.
Based
on a review of recent articles on software, the following are brief
profiles on some of the
best of the currently available ‘open source’ AI
and ML solutions
that we all ought to know
a little more about as they begin to flow into industry, e.g.
manufacturing, finance, healthcare, defense.
TensorFlow - An open source software library for ‘machine intelligence’ originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence R&D organization.
-
Accord.NET is a .NET machine learning (ML) framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building usable production-grade applications.
-
Amazon Machine Learning (AML) provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology.
- Apache – Check out some of the more notable Apache AI & ML Projects, such as Mahout, Prediction, Spark MLlib, and Singa.
-
CNTK is Microsoft’s open source ‘deep learning’ cognitive toolkit that is available on GitHub.
-
H2O is the world’s leading open source ‘deep learning’ AI platform. H2O is used by over 80,000 data scientists and more than 9,000 organizations around the world.
-
Torch is a scientific computing framework offering wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language called LuaJIT.
Key
Issues
Artificial Intelligence (AI) and Machine Learning (ML) technologies are already being deployed in many industries, e.g. finance, healthcare, manufacturing, transportation, defense. However, some of the key issues that need to be more fully addressed over the coming decade before these systems are widely deployed include:
-
Ethics - The moral behavior being programmed by humans into robots and other 'smart' AI systems, e.g. Roboethics.
-
Privacy & Security – When AI systems are turned loose to monitor your personal information, who it is being shared with and how they are using it must be better addressed and understood.
-
Legal Issues – What is the legal standing of intelligent machines of the future and who is responsible for the actions they may take that could harm you.
The
Bank of England has predicted that intelligent machines might take
over 80 million US and 15 million British jobs, respectively over
the next 10 to 20 years. Think of what this means for you and your
livelihood.
|
If
you are concerned and want to learn more about AI and ML technologies
and their potential to ‘rock your world’, you might want to check
out the following items:
Conclusion & Next Steps
As
you begin to delve deeper into the key issues raised above, many
other
questions begin
to arise that actually
touch on the future
of mankind as
we know it.
Many
of these issues
and questions
have
not yet begun to be
discussed
and addressed
by many of our leaders in the public and private sector.
That should be of concern to us all. Fortunately, the collaborative
‘open source’ approach
being
used to develop these new technologies has brought tens of thousands
of our
best minds
to bear on these issues.
| WARNING: Stephen Hawking has said the development of full Artificial Intelligence (AI) could spell the end of the human race – and Elton Musk agreed. |
Have
you begun to think about Artificial Intelligence and ‘Smart’
Machines? How do you think they will impact you and the lives of your
children? Share your constructive thoughts with our readers.
Selected
Links
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