Artificial Intelligence- Explained

The technical definition of Artificial intelligence, is conscious, combining, and figuring out the information with the help of machines.

“Emotions are an essential part of human intelligence. Without emotional intelligence, Artificial intelligence is incomplete”

Artificial – natural but purely made by humans

Intelligence– the power to understand learn and perform.

Here it is important to note that Artificial Intelligence, in collective terms refers to the technology that humans purely make to understand and perform human tasks accordingly.

Now you may think about how Artificial intelligence is working in real-time. right, okay let me disclose to you the implementations of AI, 

The AI is implemented as the recognition of voice, computer vision, in the voice translations and in the mapping of locations according to the given inputs. The AI massively supports the upcoming ecommerce generation, visual commerce with customized visual support.

The next clarification is, what is the purpose of AI? Well, as I mentioned earlier, it is man-made technology to person human tasks with more understanding and learning with the help of deep learning and language processing. This implies that the human brain takes a large part in the digital computing system.

Know, I think you are more curious to know about the father of Artificial Intelligence. Isn’t it?

Father of Artificial Intelligence:- John McCarthy

Where the founding father is Alan Turing.

Types of Artificial Intelligence

There are 2 types of AI, which help in the different ways to do the assigned tasks with its technologies. They are, 

Type 1

1. reactive mind
2. limited memory
3. theory of mind
4. self-aware AI

Type 2

1. Narrow AI
2. General AI
3. Strong AI

Artificial Intelligence- Type 1 (Functionality)

Reactive machines: 

• It is the basic type of AI.
• No storage transfer option is available for future use as it only focuses on the current tasks.
• An example is Alphago from Google.

Limited Memory:

• You have a limited time period to store the past data and that too in the selective machines.
• An example is automated self-driving cars.

Theory of Mind:

• It helps in the interaction with the user with the use of understanding human emotions and reactions.
• To date, this was in the research for real-life implementation.

Self-awareness:

• The future of Artificial intelligence is this one. This was built with the inbuilt structure of understanding the emotions, and sentiments and figuring out accordingly.
• Since it is the imaginary concept of implementation, it is still not implemented as planned. But it works better than the human mind.

Artificial Intelligence- Type 2 (Capability)

Narrow AI:

• In today’s AI world, this narrow AI is the only available with dedicated performance in the assigned tasks. And it performs only one task at a time 
• The best example is Apple’s Siri, voice recognization, face matching, and these are performed only under the limited conditions as it was designed and operated.

General AI:

• It works like the human brain, that is it is built in a way that the machine can perform like a human with the possibility of implementing emotions, consciousness and reactions.
• Researchers are working on General AI with full efficacy.

Super AI:

• One world updation is yet to occur, and machine performance beyond the human level is yet to come and take over the world with its features.

What are the tools in AI:

1. Search and optimization:-

In this search are particle swarm optimization and ant colony optimization algorithms techniques for better search traffics. 

2. Logic:-

This is used in the problem-solving step for any issues that occur while processing the implementation. In planning the logic, satplan algorithm is used. And in the learning process, an inductive logic programming algorithm is used.

3. Probabilistic theory:-

This helps in the reasoning of incomplete information. Measuring the values is the value that is added to the implementation. The list starts from reasoning, planning, learning, and perception to robotics which requires working with the information. In this  Markov decision processes, decision networks, game theory and mechanism design algorithms for usage.

4. Classifications:-

It is two types, Classifiers and Controllers. Where the classifiers are for the pattern matching and in this the decision tree is used as the simple algorithm. Classifiers use either statistical or machine learning algorithms. And also neural networks play a major part.

5. Artificial neural networks:-

It is the interconnected group of nodes that are connected to the neurons of the brain. Which helps in the input and output complication patterns in data.

6. Deep learning:-

It is the several layers that hide between inputs and outputs complications. This helps with the majority of the issues in artificial intelligence. This uses a convolutional neural network algorithm in all layers.

Artificial Intelligence Stocks in India to invest:

There will be a high demand for companies that implement AI as part of their company process. The collaboration and mix of humans and machines help both the techie and non-tech people. Where the company shares are noted as the profits seeking as the AI is emerging to its highest.the list of companies that are best to get your hands on for the investments. They are, 

1. Kellton
2. Tata Elxsi
3. Subex Limited
4. Innodata
5. Cigniti Technologies Limited

Industries that use Artificial Intelligence:

When I say, industries that use AI immediately your mind thinks about Amazon’s Alexa and Apple’s Siri, okay there are many other industries that imply AI, they are, 

1. Financial services
2. Insurance 
3. Healthcare
4. Telecommunications
5. Life Sciences
6. Oil, gas, Aviation, Energy.

Words of blessing:

1. It helps in human interaction with new and better interfaces.
2. It solves problems better than humans.
3. It uses simple and new techniques to solve an issue.
4. Without any expensive costs, it works perfectly.
5. There is no downtime and shutdown period, it works all around the clock.

Words of warning:

1. Only a few developers are available to implement the AI with the computers as it is not budget-friendly.
2. Implementing machines with human abilities will lead to cutbacks and layoffs.
3. This implementation may lead to an increase in the lazy mindset of humans and these AI will not be cooperative with the human’s presence of mind.
4. Only through the network, AI is built, which may turn into a major negative for its development.

Final bite of brownie:

Artificial Intelligence is an ocean, dive into having a wonderful experience from the basics to the advanced implementations to techniques of how the tech world is moving to the Artificial Intelligence world.

Choose your flavor of brownie and taste every bite of its sweetness, I would like to remember one thing that might help you is, too much of anything is good for nothing. Even if it is an advanced technology, use it wisely.

Happy reading.