HEY THERE! WELCOME TO CURIOSMATIC—
Do you know that google is making an AI that is being trained to make other AI?
Whether you're fascinated by thoughts of a future where robots make our lives better
or a destroyed earth due to an attack from SKYNET from the terminator movie?—there's
no question that artificial intelligence is here to stay. At the recent annual Google
I/O conference the company introduced what may be its most jaw-dropping AI innovation
yet, Auto Machine Learning—a technology that can utilize neural networks to teach
itself. If you don't know what the heck is an AI,
here is a short introduction. The theory and development of computer systems able to perform
tasks normally requiring human intelligence, such as visual perception, speech recognition,
decision-making, and translation between languages is called AI, or artificial intelligence.
Woah!, that was a reeally long definition right? Well you know what? You yourself use
AI in day to day life quite often. Some examples of artificial intelligence you
use are: the google translator! have you ever imagined how the google translator works so
fast, translating languages in a fraction of a second? Well well, that's the magic of
artificial intelligence!
Now, let's talk about how the artificial intelligence work!
The Rise of Neural Networks: Inspired by the human brain and nervous system,
neural networks are mathematical systems designed to analyse enormous amounts of data. Like
a brain, neural networks rely on large numbers of interconnected "neurons", work at the same
time to solve problems. But instead of following instructions like a traditional computer,
they follow examples and "learn" to improve the rules and methods they use. That's where
cutting edge fields like artificial intelligence, machine learning, and deep learning come in.
Many companies are already using this technology to recognize images, recommend things you
might like to watch or buy, or even predict the results of legal proceedings.
Machine learning (ML) is becoming so popular, in fact, that there's a shortage of experts who
can make the software. It's an intensive process for scientists and engineers, and that has
limited the use of neural networks and machine learning to small pools of computer experts
and academics. That's where Auto Machine Learning comes in. Its machine-learning software that
can help create machine-learning software. With it, Google aims to address a shortage
of machine-learning experts and further "democratize" AI technology across the development community
and beyond. Here some of the Google's works on AI you
should know: Google's early testing of Auto Machine Learning
shows that the technology may be faster and more efficient at writing the layers of code
necessary to create machine-learning neural networks that beat humans. For example, when
researchers Quoc Le and Barrett Zoph tasked a machine-learning system to pinpoint which
architecture to use to have software solve tasks such as recognizing images and languages,
the system came up with a solution comparable to the best human-created solutions we have—and
totally surpassed them on language recognition. Google's Auto Machine Learning is still in
its early stages. But if the successes seen in the tests by Le and Zoph can be replicated,
it has the potential to accelerate the entire field of AI faster than what was ever imaginable.
And the more that people that have the ability to create customized neural networks, the
greater ability the technology has to improve human lives.
Why You Shouldn't Fear Artificial Intelligence: It is true that AI has the power to do task
automatically. But they do so because they are programmed to do so! Another fact is that
AI don't have their own will or their own consciousness that is they don't have any
will or desire to do so. Well that is quite a relief. In fact, the truth is, AI can be
quite help and can do many bulky tasks in seconds which can be very, very helpful in
the near future! So, do you support artificial intelligence?
Well comment down below to show your thoughts about the same.
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