>> GOOGLE WORKING ON NEW AI ALGORITHMS - "THOUGHT VECTORS"
Sometimes it is nice to think out of the box - time for something different.
In a recent visit by my Melbourne colleagues and friends - the topic of
artificial intelligence was hot; especially the movie
a science fiction film focusing on evaluating the human qualities of
breath-taking female AI. On a slow news day; I came across an article where
Google has announced it is working on a new type of algorithm called
Thought Vectors - it was
only natural to reflect how this could be of value for the Internet of Things.
I remember a statement that has been embedded in my mind since I
got involved with technology:
Computers are stupid - they do not have a mind of their own; in fact;
they do exactly what you tell them to do and are only as smart as the
developer that programmed them.
Of course; when we throw in the fact that a computer can have a photographic
memory and remember every small detail, or have the ability to evaluate
every possible outcome before making a decision - it doesn't take long before
the general public can be amazed and claim how smart and amazing technology
can be. Which began the whole concept of
Unfortunately; AI is a deeply complex field of computer science where there
is a tonne of effort to deal with reasoning, knowledge, planning, learning,
natural language processing, perception and adaptation - something that is
even a feat for the most powerful processing environments out on the market
even today (one reason why
hasn't happened yet).
The field of IoT is sub-standard compared to the processing power available
on the desktop - mainly as power usage and energy release are factors that
limit the longevity of such devices; so; it is obvious that complex
algorithms have no place within the immediate vicinity of IoT. This is where
the development of new algorithms must take place - potentially; trying
to digitise everything in the world to a binary equivalent simply isn't
"Though Vectors" may provide some insight as a better way to approach
complex algorithms or concepts with low powered devices - a good example
is highlighted in the article where Professor Geoff Hinton makes the
reference between Paris/France and Rome/Italy - the meaning changes by
modifying one of the parameters.
“With machines at the moment, you get exactly what you wished for, the
problem is we’re not very good at wishing for the right thing. When you
look at humans, the recognition of individual words isn’t particularly
impressive, the important bit is figuring out what the guy wants.”
source: Dr Hermann Hauser, article
It isn't the first time that there has been hints that current developers
may be going about things the wrong way - I reported earlier the concept of
learning from biology for security ;
maybe it is time for a new thought approach to tackle the technology
problems out there.