In this article, we will talk about the new trend in the technology world, which is the Artificial Intelligent (AI), which is actually entering mostly all field of our life
The term Artificial Intelligence was first considered decades ago in the year 1956 by John McCarthy at the Dartmouth Conference. He defines Artificial Intelligence as a science and engineering of making intelligent machines in a sense is a technique of getting machines to work and behave like humans. In the recent past, AI is being able to accomplish this by creating machines and robots that are being used in a wide range of fields including Healthcare, Robotics, Marketing, and Business Analytics, however many applications are not perceived as AI because we often can't think of artificial intelligence as a robot doing a daily course but the truth is artificial intelligence has found its way into what daily lives. It has become so gently we have been using it all the time, for instance, have you ever wondered how Google is able to give you such an accurate search result or how your Facebook feed always gives you content based on your interests! The answer to these questions are artificial intelligence.
Now before go any farther let clear a very common
misconception people often tend to think that artificial intelligence, machine
learning, and deep learning are the same since they have common applications;
for example, SIRI is an example of AI, machine learning and deep-learning
technology application. So how these are technologies related:
Artificial Intelligence is the science of
getting machines to mimic the behavior of humans
Machine Learning is a subset of AI that
focuses on getting machines to make decisions by feeding them data
Deep learning is a subset of machine learning
that uses the concept of neural networks to solve complex problems
So to sum it up
artificial intelligence, machine learning, and deep-learning are interconnected
fields machine learning and deep-learning aids Artificial intelligence by
providing a set of algorithms and neural networks to solve data-driven problems
however, AI is not restricted to any machine learning and deep learning it
covers a vast domain of fields including natural language processing, object
detection of computer vision, robotics expert systems, and so on.
Artificial
intelligence can be structured along three stages or you can say that there are
three different types:
1 1- Artificial Narrow Intelligence
2- Artificial General Intelligence
3 3- Artificial Super Intelligence
1- Artificial narrow intelligence
Which is also known as weak
AI involves applying artificial intelligence to need a specific task now many
currently, existing systems that claim to use AI are operating as a weak AI-focused
on a narrowly-defined task. Now Alexa is a very good example of narrow
intelligence it operates Within a limited predefined range of functions, that is
no genuine intelligence or no self-awareness despite being a sophisticated
example of weak AI. Other examples of weak AI are Face verification that you
see in your iPhone, and the autopilot feature at Tesla, the social humanoid,
Sophia built at Hanson Robotics and finally, we have Google Maps all of these
applications are based on Weak AI or artificial narrow intelligence
2- Artificial General intelligence
is also known as strong AI,
it involves machines that possess the ability to perform any intellectual task
that a human can. You see machines don't possess human likeability, they have strong
processing units that can perform high-level computations but they're not yet
capable of thinking and acting like humans. There are many experts who doubt that
artificial general intelligence will ever be possible, and there are many who
questioned whether it should be desirable I'm sure all of you have heard of
Stephen Hawkings, he warned us that Strong AI would take off on its own, and
re-design itself at an ever-increasing rate. Human, who are limited by slow
biological evolution, couldn’t compete and would be superseded.
3- Artificial super-intelligence
is presently seen as a hypothetical situation as depicted in movies and science fiction books when machines will
take over the world, however, deck masterminds like Elon Musk believe that
artificial super-intelligence will take over the world by the year 2040
Now as you know the different types of Artificial Intelligence,
let's take a look at how high is used in the real world
From spotting an eight planets solar system which is 2500
light-years away to composing sonnets and poems AI have covered all possible
domains in the market
In the finance sector, J.P.Morgan's chase’s Contract Intelligence the platform uses artificial intelligence,
machine learning and image recognition software to analyze legal documents and
extract major points and causes important data points in a matter of seconds,
while manually reviewing 12,000 agreements takes over 36,000 hours, but AI is
able to do this in a matter of seconds.
Coming to healthcare
IBM is one of the Pioneers that has developed AI software specifically for
medicine, more than 250 Healthcare organizations worldwide use IBM Watson
technology. in 2016 IBM Watson AI technology was able to cross-reference 20
Million oncology record and correctly diagnose a rare leukemia condition in a
patient.
Coming to the next application Google’s AI Eye Doctors
another initiate where do you working with an Indian eye-catching scans and
identify a condition predict which causes blindness
coming to social media platforms like Facebook artificial
intelligence is used for face verification were in machine learning and
deep-learning concepts are used to detect facial features and tag your friends
The Google predictive
Search is one of the most famous AI applications when you begin typing a search
term recommendation for you to choose from that is AI in action predictive
searches are based on data that Google collects about you such as your location
age and other personal details by using AI the search engine attempts to guess
what you might be trying to find
Now another famous application of artificial intelligence is
self-driving car AI implements computer vision, image detection and deep
learning to build cars that can automatically detect objects and drive around
without human intervention
so I can go on and on about the weirdest your application
since the emergence of AI in 1950s we have seen an exponential growth of its
use, such as machine learning deep learning natural language processing,
knowledge-based expert, systems and so on it has also made its way into a computer
vision and image processing
0 Comments