Generate Solutions with Artificial Intelligence

The main purpose of this article is to provide information about AI (Artificial Intelligence) from the scratch. It consists of a brief description about AI. At the end of this article you’ll get an idea of how AI works, different ways to learn AI and how it is important in today’s world.

What is Artificial Intelligence?
AI is developed to make machines do things which humans do better. AI is making machines intelligent and has become a vital part of technology. It is an area of computer science that focuses on creating intelligent machines that work like human beings.

In a few years computer system will be able to completely simulate the human mind. Stephen Hawking once said “The development of full artificial intelligence could spell the end of the human race. Humans, who are limited by slow biological evolution, couldn’t compete, and would be superseded.”

The main highlight of AI is logical deduction, Speech Recognition, Natural Language Processing (NLP), Logical Reasoning. NLP simply means a process that produces text from computer data. It acts as a translator and converts the computerized data into natural language representation.

AI is a general category common to all Three which are categorized as below :

~ Machine learning
Machine learning is a important part of Artificial Intelligence that has the ability to learn without being explicitly programmed. It uses statistical analytics and it’s main work is to recognize patterns and predict the result data set with the help of algorithms.

~ Deep learning
Deep learning idea comes from working on the brain neurons. Basically it depends on Artificial Neural Network (ANN). ANN is an information processing algorithm that works as a biological nervous system. A neural network is kind of an addressable memory content that has the capacity to store experiential knowledge and making it available for future use.

Most Used Programming Languages for Developing AI

~ Python
Python is the most popular in the list of AI development languages because of its simple structure. Popular TensorFlow open source library uses Python programming. The Rich text file processing tool makes it the best solution for NLP Problems.

~ C++
The main benefit of using C++ for AI is its speed. C++ is counted as the fastest programming language for AI. AI requires mathematical calculation and complex logical deduction so it consumes more time span. C++ is the most recommended language after python for machine learning and neural networks.

~ LISP
Lisp, is stated as ‘List Processing’ the second oldest programming language in the world, Lisp has some special features because of that it is flexible to use it for development of AI.

~ Prolog
A Prolog is a logical programming language in which logical reasoning is shown as programs. A Prolog program consists of declaration of the facts, several logical assertions, formulation of questions to be answered. It is declarative i.e. the logic of any program will be viewed by rules and facts.

~ Java
Java is an object-oriented programming language. It runs on all platforms due to Virtual Machine known as Java Virtual Machine (JVM),which makes it platform independent. Java is easy to use and easy to debug. Java AI programming is good for search and sorting algorithms, neural networks.

There are some frameworks available to get started with the basics of building your own artificial intelligence. These frameworks allow developers to connect their own device or apps to voice recognition system, Chatbot and Artificial Intelligence. Some of the best frameworks are as follow:

1. Wit.ai
Wit.ai is a service that provides a unique amalgamation of both a voice recognition and machine learning for the developers. It caters to the services that convert verbal commands into text and can also be trained to understand those commands.

2. Api.ai
Api.ai is a framework that helps to develop AI bots. It allows users new ways to use your product by building engaging voice and text-based interfaces, such as voice apps and Chatbot. Api.ai has changed its name to ‘DialogFlow’ but the workflow is still the same. It is versatile that means bots can be deployed to various platforms which supports AI such as FB messenger, Google Assistant, etc.

3. Melissa-AI/Melissa-Core
Melissa is a virtual assistance for OS X. It currently uses either Google’s speech-to-text engine or CMU’s Sphinx assistance. If you are more on the programming side of the AI and Raspberry Pi, you could use Melissa. Being an open source personal assistant Melissa has been written in Python that runs on Raspberry Pi, Windows, OS X and Linux. It has been updated quite often.

4. Clarifi
Clarifi is completely different from other services, this service can recognize both image and video content. It has its own deep learning engine that continuously improves with every use and has the ability to see and recognize objects. It can do all sorts of things from tagging images, to searching for other images that are visually similar. You can even teach the platform entirely new concepts by training it with your own examples.

5.TensorFlow
It is developed by Google. It is an open source library for numerical computation. If you want to develop AI systems from the scratch this is the best option. You will learn more about deep learning and artificial intelligence. TensorFlow is best for image processing.

Conclusion:
Problem solving is a major area of concern of AI. It is the process of generating solutions from a given data. To solve a particular problem we need to build a system or a method which can generate required solution. AI is a very vast field that holds the capacity to generate these solutions. It includes many areas like Computer, Maths, Biology, Psychology etc.