Very Important To Know About ( Artificial Intelligence ) & ML ( Machine Learning )

 

Artificial Intelligence (AI), Machine Learning (ML) and, Deep Learning  (DL) are the buzzwords of this century. Their wide range of applications has changed the facets of technology in every field, ranging from Healthcare, Manufacturing, Business, Education, Banking, Information Technology, and whatnot!

Although these words are familiar and used widely, they are often used interchangeably. But there is a vast difference between all of these.

In this article, we will explore these buzzwords and learn the difference between them.

What is Artificial Intelligence ? :

In simple language : , “Artificial Intelligence is the ability of machines to function like the human brain.”

Whenever we think of Artificial Intelligence, the first thing that strikes our mind is Robots. A few decades ago, ‘Robots’ fascinated us the most with movies showcasing Robots / Superhumans performing insanely tough jobs effortlessly and living on par with humans.

Now Robots like Sophia are a reality and we find AI everywhere. Right from robotic vacuum cleaners, virtual assistants like SIRI, robots that perform surgeries in healthcare, robots that write codes, and of course the self-driving cars and trucks – most of these are a reality and the world of Artificial Intelligence is rapidly evolving. Starting with IBM’s (International Business Machines) chess-playing computer ‘Deep Blue’ which won a chess match against World Champion, to ‘Google’s AlphaGo’, we have seen fascinating discoveries in this AI revolution.

Artificial Intelligence focuses on performing 3 cognitive skills just like a human – learning, reasoning, and self-correction.

The evolution of Artificial Intelligence is considered the fourth Industrial Revolution ~ UBS
Experts say, just like how the first 3 industrial revolutions changed the course of the world, the fourth revolution, powered by Artificial Intelligence, IoT and Cloud will surely change the course of humanity and our planet Earth. 

Let’s have a quick look at the three broad categories of Artificial Intelligence and how we are rapidly evolving in these areas!

1. Artificial Narrow Intelligence

2. Artificial General Intelligence

3. Artificial Super Intelligence



☰ 1. Artificial Narrow Intelligence :

Artificial Narrow Intelligence systems are designed and trained to complete one specific task and are often termed as Weak AI / Narrow AI. The chatbots that answer questions based on user input, voice assistants like Siri, Alexa, and Cortana, facial recognition systems, AI systems that search the internet, are examples of Weak AI. They are intelligent at performing the specific tasks that they are programmed to do so.

Narrow AI doesn’t mimic human intelligence, rather it just simulates human behavior based on a set of parameters and input data. Weak AI still requires some amount of human intervention in terms of defining parameters for learning algorithms, feeding relevant training data, and ensuring the accuracy of prediction.

You can think of it as an infant who listens to instruction from adults and performs the functions as directed.

☰ 2. Artificial General Intelligence :

Artificial General Intelligence is when the AI systems/machines would perform on par with another human. This also means the ability of the machine to interpret and understand human tone and emotions and act accordingly. This is also called Strong AI and we are still scratching the surface of Strong AI. As Machine Learning capabilities continue to evolve, AI will progress and we will reach there soon.

☰ 3. Artificial Super Intelligence :

Artificial Super Intelligence/Super AI is when an Artificial Intelligent machine would become self-aware and surpass human’s intelligence and ability. Although there is so much exciting research happening around this area, there are warnings from scientists as well.

Oxford University Professor and New York Times best-selling author of the book “Superintelligence: Paths, Dangers, Strategies”, Nick Bostrom says,

” The biggest threat is the longer-term problem, introducing something radical that’s super intelligent and failing to align it with human values and intentions. This is a big technical problem. We would succeed at solving the capability problem before we succeed at solving the safety and alignment problem.”

So, what’s your thought about reaching this level of Artificial Super Intelligence? Do you think uncontrolled Super AI can become a threat to humanity? Don’t forget to share your thoughts in the comments.

Okay! That’s a lot about Artificial Intelligence!

As we have a fair idea of Artificial Intelligence; are you wondering how the computer system/machine can mimic human actions and perform predictions, automation, and make decisions?

That is where Machine Learning comes into the picture.

What Is Machine Learning ?

Machine Learning is naturally a subset of AI. It provides the statistical methods and algorithms and enables the machines/computers to learn automatically from their previous experiences and data and allows the program to change its behavior accordingly.

Machine Learning provides many different techniques and algorithms to make the computer learn. Decision trees, Random Forests, Support Vector Machines, K Means clustering – these are just to name a few.

Demand forecasting sales of products, predicting customer behavior, gauging customer sentiments from their social media behavior – these are some use cases where machine learning models are used. Machine learning algorithms work well when the input data is reasonably good enough. When the size of data explodes, we need to look at more efficient algorithms and techniques and that is where Deep Learning finds its hotspot.

OTT platforms like Netflix and Amazon Prime use Machine Learning to recommend movies based on the user’s past viewing data and it constantly improves by learning from past experiences.

THATS ALL ! YOU NEED TO KNOW - ALL THE UPPER LAYERED INFORMATION HAS BEEN COVERED ! 

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