Artificial Intelligence or AI is one of the 'controversial' technologies of 21st century. It ranges from intelligent personal assistants like 'Siri' and 'Alexa' who understands our words, to driverless cars and personal suggestions on Netflix and YouTube; the technology has reached to all field. But what is Artificial Intelligence, its uses and kinds? Find out below in simple language.
What Is Artificial Intelligence?
Artificial intelligence -Artificial Intelligence is the simulation of "human" intelligence on machines. The "human" tasks here means the human capabilities to think and perform are supported by the machine by means of technologies.Artificial Intelligence (or for short, AI) is an abbreviation of the term artificial intelligence which was first invented by John McCarthy at a workshop at Dartmouth College in 1956 (considered by many to be the very beginning of artificial intelligence). So how far have we come from the beginning of a simple program that just read a set of rules and moved to a clever, intelligent program that can learn, choose, adapt and even invent!
In fact, the only task that all AIs do, is trying to get various data to make correlation, then draw his own inference (or prediction, not made for a specific means). It's just what AI is.
How Does Artificial Intelligence Work?
Most systems use a system of three fundamental componentsYou can't have the big data without the data - AI can't learn. It can be a text, it can be an image, it can be a number or any other thing.Algorithms- these are processes that you carry out by doing an equationTherefore a very high level of AI (exDeep learning) would require huge computing power, which only hardware such as GPU's would be able to provide.Therefore this is how the "machines learn", as the we do it by practicing.
Uses of Artificial Intelligence
Artificial Intelligence is in every field today. The famous fields are few of the most famous fields are:
1. Healthcare
In the current scenario, artificial intelligence has a huge impact on the health care area. This can be used for aiding the doctors in their practice, taking decisions regarding the diagnosis and diagnosis interpretation, analyzing the medical images, predicting the patients result and even designing of medicines.
2. Finance
AI can be utilized in multiple ways by the banking and finance sector such as the information entered into a risk assessment, identifying fake documents, algorithm based trading, chat bots for customer service and many others. For all these usages of AI, any artificial activity shall be pre warn in a bank.
3. Retail and E-commerce
It is also used for the website of E-Commerce, for knowing the products which relate to the previous actions of the consumer by the use of AI. It is also used to maintain control on the stock and to guide the price.
4. Transportation
For each of these AI-automated car models, predicting traffic, best routing has already been implemented. Companies like Tesla and Waymo have already started using AI for driverless cars.
5. Education
Provides students the option of self-directed learning with individual tuition, possible with the aid of Artificial Intelligence ( AI ), and Automated assessment and individual advice when appropriate.
6. Customer Service
Those who could have greatly gained from the use of AI-chat-bots and virtual assistants were:
7. Manufacturing
AI is also used for other applications such as predictive maintenance, quality control and automation processes. For these applications the economic benefit is a kind of optimization.
8. Entertainment
AI has been in text, movies, and music for a while and AI recommends movies, TV, and music to you on streaming services.
Types of Artificial Intelligence
Types of AI There are 2 types of AI depending upon its function and capacities.
Based on Capabilities
Narrow AI(Weak AI):-It is a type of AI which is implemented for some specific task(s) e.g. Find your face, find out the way out, support voice recognition system e.g. Google Home, Siri etc.
For instance.
Siri, Google assistant, auto completion, auto correction, recommendation system etc. Are examples of Narrow AI. Narrow AI, do not have general intelligence reasoning power.
2. General AI(Strong AI):- The general AI or the strong AI is an intelligent machine which might have the ability to reason as humans do. It would also be able to learn any task a human brain can learn. However this can only be a theoretical concept until it is designed.
3. SuperAI: is a category of hypothetical AIwhich is also vastly superior to the human brain in every way: creativity, general intelligence, social skills. It is a utopian promise for the futurists and technologists.
Based on Functionality
Reactive Machines- the most simple form of AI that only reacts to it's environment. It doesn't have any memory of previous events. An example of this is Deep blue that defeated world chess champion Garry Kasparov.
2. Limited Memory: In this type of machine learning, we use past data to make predictions. Almost every AI application today like self-driving cars will come under this type. They will be using old data for better prediction.
3. Theory of mind- this is a more advanced form of AI that is under construction as is an AI that can understand human emotions and so communicate effectively with humans.
4. Self Aware AI It would be the most intelligent and yet untried form of AI which will have an consciousness of the entities themselves.
Benefits of Artificial Intelligence
Task efficiency: AI's are generally capable of performing dull, monotonous tasks much quicker and with higher accuracy than humans.Decision enhancement: be able to discover pertinent, useful knowledge from vast amounts of data for decision making process.Open 24 hours. The
systems and AI always functioning doesn't need to rest nor sleep. So, we can access to use 24 hours a day.
Personalisation : shopping, entertainment, education with AI to 'create'Cost saving: as a result of the ability to automate the uses of the AI, its operating cost generally diminishes.
Challenges and Concerns
Despite its benefits, AI also raises important concerns:Jobs cut–Jobs may be cut due to automation.Privacy Issue: Not being able to prevent yourself from making a record of everything about yourself.
Bias: Learning algorithms will be biased if the data on which they are to learn are biased.Privacy and ethical concerns: The debate continues around responsibility, openness and the moral deployment of AI.
The Future of Artificial Intelligence
The future of AI is good. AI is and will be developing very fast, but the emerging technology of machine learning, natural language and robotics will be more and more present in our life (Medicines, education or ecology...) but they also have to be aware of the moral and social problems that this technology poses.
Conclusion
Artificial Intelligence is not something of the future; it is the present. It is the present in our knowledge of this particular branch of AI, in the functioning of AI, extent of AI and the different formats of AI will definitely get us an idea of what all it can do. I am sure it can change the functioning of Economies and Industries as well as our lives in the coming few years.
Frequently Asked Questions (FAQs)
Explain ai in simple words
Artificial intelligence (ai): A task performed by a machine which would normally require human intelligence.
Father's name?
Father of Computer Science, Father of Artificial Intelligence, when we said "Artificial Intelligence" the time the origin of the domain AI, we were in 1956 the Dartmouth Conference.
3. What are types of AI?
They have been divided into categories based on system capabilities and AI operation, as follows,
4. How does AI, Machine Learning and Deep Learning differ?
Artificial Intelligence is the generic term that thinks that machines should be intelligent and that part is called Machine Learning."Adamar to systemem, które uczyły się na danych.Deep Learning is Machine Learning. Deep Learning is to use the Neural Network (for computing) to find the information.
5. Is AI a menace?
AIs are not a menace in themselves but the 'fear' of abuse, the threat to jobs, the discrimination and the un-regulation are. These are the issues that need to be sorted, a way-forward for responsible implementation.