Hello....
Read this:
Related to my previous post about AI, read this:
"Researchers in machine learning argue that computers trained on
mountains of data can learn just about anything — including common sense
— with few, if any, programmed rules."
Read the rest of my thoughts:
About artificial intelligence..
I think that AI (artificial intelligence) is getting more and more
powerful, and i think that even if AI doesn't use abstract reasoning as
humans, it is learning from data and being able to pass IQ tests and
this way (by learning from data) it can get much more powerful, so we
have to be optimistic about artificial intelligence, because AI will
learn from data and get soon (in just about 12 years) "so" powerful that
it will permit us to solve many of our problems, and i think that by
learning from data it can get more powerful than humans in many ways.
This is why i have posted this:
DeepMind AI Passes IQ Test, But Does It Really Think Like Us?
Look at this interesting video:
https://www.youtube.com/watch?v=zoNsbDVb4PI
And also read the following interesting thoughts to understand more
about AI:
Artificial intelligence is becoming "powerful" because we are now
capable of "general" artificial intelligence, read carefully what
follows, it said that:
"Artificial intelligence up to now, including DeepMind’s AlphaGo, have
been limited to perform well only for a specific task - hence the term
‘narrow artificial intelligence.’ But researchers are beginning to
embrace the arrival of artificial general intelligence, an AI that can
perform any task that a human can. In their recent paper, Google
DeepMind proposes a method into training AGI by using genetic algorithm."
And:
"So how well does PathNet perform in action? DeepMind’s experiments show
that PathNet is faster than fine-tuning, and does positively transfer
trained knowledge in supervised learning classification tasks and
reinforcement learning tasks - successfully addressing the three
requirements of an AGI."
Read more here to notice it:
http://www.deepbio.co.kr/2017/03/20/Weekly-paper-DeepMinds-PathNet.html
And read about the following other important step that is Generative
Adversarial Network:
What’s a Generative Adversarial Network? Leading Researcher Explains
Read more here:
https://blogs.nvidia.com/blog/2017/05/17/generative-adversarial-network/
Thank you,
Amine Moulay Ramdane.