The word Artificial intelligence was first coined in 1956 by John McCarty at the Dartmouth conference. He termed Artificial Intelligence as the science and engineering of creating intelligent machines. In other words, AI is a technique for getting devices to work and function like humans.
In the recent past, AI has succeeded in creating machines. Robots are used in various fields, including healthcare robotics, marketing, business analytics, and many more.
Nevertheless, many AI applications are not recognized as AI because we often think of Artificial Intelligence as robots doing a daily plan. Still, the truth is Artificial Intelligence has found its way into our lives. It has become so prevalent that we don’t realize it, but we use it all the time.
For instance, have you ever questioned how Google can give you such specific search results or how your Facebook feed always gives you content based on your interest?
The Solution For These Queries Is Artificial Intelligence
Before I go any further, let me clear a widespread misconception. People often think that Artificial Intelligence, Machine Learning, and Deep learning are the same since they have typical applications. For example, “Siri” is an application of AI, Machine Learning, and Deep Learning, so how are these technologies deleted?
Artificial Intelligence is the science of getting machines to mimic humans’ behavior. Machine learning is a subset of AI that focuses on getting devices to make decisions by feeding them data. On the other hand, Deep Learning is a subset of machine learning that uses neural networks to solve computer problems. So, to sum up, Artificial Intelligence, Machine Learning, Deep Learning are related fields. Machine Learning and Deep learning need Artificial Intelligence by providing a set of algorithms and neural networks to solve data-driven problems.
However, AI is not limited to only machine learning and Deep Learning; it comprises a vast field of fields, including natural language processing, object detection, computer vision, robotics expert systems, etc.
Types of Artificial Intellegence (AI)
There are three different types of Artificial Intelligence:
- Artificial Narrow Intelligence
- Artificial General Intelligence
- Artificial Super Intelligence
#1. Artificial Narrow Intelligence
Artificial Narrow Intelligence, also called weak AI, involves applying Artificial Intelligence only to a specific task. Many are currently enduring systems that claim to use Artificial Intelligence are operating as weak AI.
Example of Narrow Intelligence
Alexa is an excellent example of Narrow Intelligence; it operates within a limited predefined range of functions. Despite being a sophisticated example of weak AI, there is no real intelligence or self-awareness.
- Face detection that you see in your iPhone
- Autopilot feature in Tesla
- Social human Sophia, which is built at Hanson robotics
- Google maps
#2. Artificial General Intelligence
Artificial General Intelligence is also known as strong AI, and it involves machines that possess the ability to perform any intellect that a human being can. You see, devices don’t include human-like skills. We have a strong processing unit that can execute high-level competitions, but they cannot think and reason like humans.
Many experts doubt that Artificial General Intelligence will ever be possible, and many questioned whether it should be desirable. I’m sure all of you have heard of Stephan Hawking.
Now he warned that strong AI would take off on its own and redesign itself at an ever-increasing rate. Humans are limited by slow evolution, couldn’t compete, and would be superseded.
#3. Artificial Super Intelligence
It is the term that refers to the time when the capabilities of computers will surpass human beings.
Artificial Super Intelligence is presently seen as a hypothetical situation described in movies and science fiction books where machines will take over the world. However, tech masterminds like Elon Musk believe that Artificial Super Intelligence will take over the world by 2040.
Let’s Take a Look at How AI Changes The Real World
- From spotting the solar system, which is 2500 light-years away, to composing poems, AI applications have covered all possible domains in the market.
- In the finance sector, JP Morgan’s G’s contract intelligence platform uses Artificial Intelligence machine learning and image recognition software to analyze legal documents and extract essential points and clauses in a matter of seconds.
- Now manually reviewing 12000 agreements takes over 36000 hours, but AI could do it in a matter of seconds.
- Since coming to healthcare, IBM has been one of the pioneers who has developed AI software specifically for medicine; more than 230 healthcare organizations worldwide use IBM Watson technology. In 2016 IBM Watson AI technology was able to cross-reference 20 million oncology records and correctly diagnose a patient’s rare leukemia condition.
- Google’s AI eye doctor is another initiative taken by Google. They are working with Indian Ikea to develop an AI system to examine the retina scans and identify a condition and diabetic retinopathy that causes blindness.
- Social media platforms like Facebook use Artificial Intelligence for face verification. Machine learning and deep learning concepts help detect facial features and tag your friends; another example is Twitter’s AI, which helps identify hate speech.
- Google predictive search is one of the most popular AI applications. When you begin typing a search word, Google gives recommendations for you to choose from. Action predictive searches depend on data that Google collects about you, like your location, age, and other personal details. The inquiry attempts to guess what you might be trying to find by using AI.
- Virtual assistants like Siri, Alexa, and Cortana are models of Artificial Intelligence. A newly freed Gogas virtual assistant called Google Duplex astonished millions of people who can not only respond to calls and book appointments for you, but it also adds a human touch.
- Another popular application of Artificial Intelligence is self-driving cars. AI implements computer vision image detection and Deep Learning to build vehicles that automatically detect objects and drive around without human intervention.
Artificial Intelligence is branching out into every aspect of our lives. that one day it might take over our lives, it is sooner or later than you think. It is estimated that AI will take over the world within the next thirty years; by then, I hope we develop some teleportation machines that help us escape our very own creation. That’s all from my side.
I hope you enjoyed reading this article; please be kind enough to like it, and you can comment on any of your doubts and queries, and we will reply to them at the earliest.