What is Artificial Intelligence (AI)?
The term Artificial Intelligence was first coined by John McCarthy in the year 1956 at the Dartmouth Conference.
“Artificial Intelligence is defined as the science and engineering of making intelligent machines.”
In other words, AI is also defined as the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation, etc.
Artificial Intelligence is made from two words;
- Artificial- Human made
- Intelligence- Thinking power
By combining these two words, we can say that Artificial Intelligence is “human-made thinking power.”
So, AI is a technique of getting machines to work and behave like humans. This is already achieved by creating machines and robots with the help of AI in different fields such as healthcare, marketing, robotics, and business analytics, etc.
Application of Artificial Intelligence (AI)
- AI in Google SERP
AI is widely used in every field like healthcare, marketing, robotics and business analytics, etc. But one of the most important applications of AI is Google SERP. When we begin typing in Google search engine box, it automatically makes recommendations for us to choose from, that actually AI is. So when we want to search for anything on the search engines, it uses AI to guess what we are trying to find based on data collected by Google about you such as location, age, browser history, and other personal details, etc.
In the above screenshot, you can see that Google is recommending for the query that you may want to know about, and it is possible through the AI, deep learning, machine learning, and Natural Language Processing (NLP).
- AI in the Finance Sector
In the Finance sector, JPMorgan chase’s contract intelligent (COiN) platform uses AI, ML, and image recognition software to analyze the legal documents in few seconds only.
As per the screenshot, you can see that manually reviewing 12,000 agreements takes over 36,000 hours that is lots of time-consuming. But now it is work of a few seconds after deployed it by AI machines. So this is the main difference between AI and human work. However, AI can’t think and reason like humans but it has better computational power than humans.
- AI in the Healthcare sector
Healthcare organizations use IBM AI (Watson) technology for medical diagnosis. IBM is one of the pioneers that developed AI software, especially for medicines. There are hundreds of healthcare organizations that use AI (IBM Watson) technology. In 2016, IBM Watson technology was able to cross-reference twenty million oncology records quickly and correctly diagnosis a rare Leukemia condition in a patient.
- AI in social media platform
AI is widely used in social media platforms like Facebook for face verification. It is based on deep learning and machine learning concepts. The entire auto-tagging features that you see on Facebook are based on deep learning, machine learning, and neural networks and there is only AI behind all these. All other social media platforms like Instagram, Twitter, etc. heavily trust AI. Further, Twitter and Facebook use AI to identify any type of hate speech and inappropriate abusive and terroristic language in Posts and Tweets.
Twitter has discovered and restricted more than 300,000 terroristic-linked fake accounts. In which 95% of accounts were found by non-human and AI machines.
- AI in Virtual assistants
Virtual assistants are the devices that can understand voice commands and complete the task as per the voice instruction of the user for e.g. Alexa and Siri.
Google has launched a new virtual assistant called Google Duplex. It can’t only respond to calls and book an appointment for you, It can add a human touch also. It makes a sound that is very realistic. However, It is very difficult to distinguish between humans and AI speaking over the phone.
- AI in self-driving cars
AI is used in self-driving cars also. AI implements computer vision, image detection, deep learning in order to build cars, which can automatically detect any object or any obstacles and drive around without human intervention.
Elon musk talks about how AI is implemented in Tesla’s self-driving cars. Tesla has made a fully automatic self-driving car and a ‘’Robo taxi’’ version that can ferry passengers without anyone behind the wheel.
- AI in Entertainment (Netflix)
Netflix has developed own movie recommendation for each of its user. These recommendations are made by Machine Learning. When you open your Netflix app and look at the type of movies that are recommended to you, they are quite different than others. This is because Netflix analyzes each user’s personal details and tries to understand what each user is interested in and which type of movie patterns each user has, then it recommends appropriate movies to them. This helps to engage a user on its platform by recommending them for watching the next movie and continue your monthly subscription.
Over 75% of what a user watch is recommended by Netflix itself.
So the logic behind these recommendations is AI and Machine learning.
- AI in Gmail
Gmail also uses AI on a daily basis. When you open your Gmail inbox, you will find different sections there for e.g. Primary section, Social section, etc. Similarly, Gmail also has a Spam mails section. So Gmail uses AI to classify spam and non-spam emails from the account. Spam words are generally like the lottery, earn a full refund, etc. By using Machine Learning, Natural Language Processing and AI, Gmail filters these emails in a separate section called spam.
- AI in Gaming
AI can be used in so many games available on the internet today. Like online chess, cricket, and ludo, etc. AI machine plays strategically to compete with the human being.
- AI in Data Security
Data security is the most important aspect for each user on the internet, as there are so many cyber attackers active over the internet. So AI can be used to make your data more secure and safe from the eye of cybercrimes. AEG bot, A12 platform, etc. are used to secure data and determine the software bugs in a better way.
- AI in Agriculture
Agriculture is the most crucial area for living life and requires various resources like labor, time and money, etc. So for significant results in agriculture production, AI can be used as agricultural robots, solid, crop and waste management, predictive analysis to help out the farmers.
Programming Language for Artificial Intelligence (AI)
What Programming Languages should be used for Artificial Intelligence, and which is the best Programming Language for Artificial Intelligence? In this tutorial, we will discuss the different Programming Languages for AI. However, there are so many languages that can be used for Artificial Intelligence. Some of them are as follows.
Python is the most popular language used for Artificial Intelligence (AI). It is also known as the most significant language for AI because most programmers and developers choose Python as best. Most of the scientists also feel comfortable with Python language for AI.
The syntaxes in Python are very simple and easy to learn for professionals as well as beginners also. It considered being one of the most natural languages to learn.
All AI algorithms, and Machine Learning algorithms can be easily implemented in Python because of many libraries which have predefined functions for these algorithms. So if you have to call a function, you don’t need to call your algorithms for the same.
Hence, Python is considered as the best choice for Artificial Intelligence.
Also Read: What is Python?
R is a statistical programming language. Currently, R is one of the most productive languages and environments for analysis and manipulation of data for analytical purposes, as it is a statistical programming language.
The R language is used to produce well-designed publication-quality plots with mathematical formulas and symbols, whenever needed. The R language is considered one of the most accessible programming languages to earn for professionals and beginners.
The syntaxes belong to the R language are very similar to the English language. It includes so many libraries that support statistics, data science, AI and Machine Learning, etc. It also contains lots of predefined functions for Machine Learning algorithms and Natural Language Processing (NLP), etc.
Hence, R is also considered an excellent choice if you want to start programming language for Machine Learning and AI.
Java is always the most popular language among all available languages. It is also considered a better choice for programming, as well as the development of AI. Artificial Intelligent has a lot to do with search algorithms, Artificial Neural Networks, and genetic programming.
Java provides many benefits that are as follows-
- It is easy to use.
- Debugging and package services in Java are very easy.
- It is simple to work with large scale projects.
- Java enables better user interaction and graphical representation of data.
- Java consists of a standard widget toolkit to make graphs and interfaces easily.
The graphical virtualization is a very significant part of AI, data science and machine learning, etc. So Java also can be the right choice for programming and development of AI.
Lisp is the oldest and most suited programming language for the development of AI. Shockingly, a lot of people have not heard about the Lisp language.
Lisp language is invented by John McCarthy, who is also known as the father of Artificial Intelligence. He was the person who first coined the term Artificial Intelligence.
- It has the capability of processing symbolic information.
- It has excellent prototyping capabilities.
- It is easy to learn.
- It can quickly create dynamic objects.
- It has an automatic garbage collection feature.
Most of the features migrated into other languages due to advancements in language; so many people are not familiar with Lisp language.
There are a lot of new languages that have more robust features or better packages, e.g. Prolog. It is commonly used in the knowledge base and expert system. The features of Prolog language are as follows-
- Pattern matching
- Freebase data structuring
- Automatic backtracking, etc.
These features provide a compelling and flexible programming framework. The Prolog is a language mostly used in the medical sector’s projects and designing expert AI systems.
Which programming language is the best for AI programming?
If you are looking for the best programming language for the development of AI, then Python is always the best choice in all other available languages. Python has some features which make it best programming language is as follows;
- Python is very easy to learn, read, write, and understand.
- Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.
- Python is an example of FLOSS. FLOSS stands for (Free/Libre and open source software) type language. Open source means one can freely distribute copies of this software, read its source code. Modify it, etc.
- Python is a high-level language, which means you don’t have to worry about memory allocation, etc. while writing Python script.
- Python can be used on different numbers of platforms, e.g. Linux, Windows, Macintosh, Solaris, etc. Hence, it is a platform-independent language.
- Python supports a different programming paradigm, which means it supports object-oriented as well as procedure-oriented programming.
- Python is extensible, which means it can invoke C and C++ libraries.
- It can be integrated with .Net and Java components also.
- It consists of predefined packages in which all the functions and algorithms stored.
Apart from these features, It is used to develop data science algorithms, Machine learning algorithms, and IoT projects, etc. Further, if you are choosing Python for AI and ML programming, then you don’t need to code much due to ready-made or predefined packages available in it. E.g., PiBrain is used for machine learning; NumPy can be used for scientific computations, Pandas, etc.