Artificial intelligence or (AI) or the intelligence of machines, integrated with python helps articulate real-world applications that interact. AI has its scope in varied fields like Language Processing, Deep Learning, Genetic Algorithms, and Artificial Neural Networks.

What is AI?

A branch of computer science, that helps builds smart machines that are capable enough to match human intelligence. A multidisciplinary approach has its applications across many industries. Machine learning and deep learning have further opened the horizons of AI. Such advancements in AI will eventually bring a revolution to the tech industry by opening new avenues of intelligence by machines.

AI is an extreme endeavor to replicate or simulate human intelligence. It involves matching human intelligence in machines, but do we know who is more intelligent – Machines or Humans?

Verticals

Artificial intelligence can be divided into the following two broad categories: • Narrow Artificial Intelligence AI:

Narrow AI as the name suggests operates under constraints and limitations. it is mainly programmed to focus on performing a single task and are less than the basic human intelligence. In other words, the Ai for such is limited to a certain context with the simulation of human intelligence making them seem more intelligent than humans.

Applications of Narrow AI

It is all around us, we are undoubtedly surrounded by machines, gadgets, automated machines that work with voice-over commands, and we are using them for performing the basic functions of our daily lives to solving complex algorithms. Narrow AI has its limited focus on specific tasks or endeavors thus bringing in major societal benefits and brought in vitality and automation of basic tasks for humans.

The examples of Narrow AI include:

• Google search engine with location-oriented results • Siri, Alexa, and other personal assistants • Image recognition software

Artificial General Intelligence (AGI): AGI, also known as strong AI is a machine made with general intelligence. Such machines are much more intelligent than humans hence apply their intelligence to solve any problem of the Universe. The creation of a machine with human-level intelligence and a full set of cognitive abilities is still evolving.

Some examples of ARTIFICIAL INTELLIGENCE

• TV show recommendations on Netflix • Next song recommendation on Spotify. • Smart assistants like Alexa • Disease mapping and prediction tools • Manufacturing of drone robots • Optimized, recommendations for healthcare • Automated bots for customer service • Automated chats for Marketing • Robo-advisors for stock trading • Spam filters for email • Social media monitoring tools

The interrelation of AI, Machine Learning & Deep Learning **

From taking simple commands of recognizing voice commands to solving complex problems, Ai is gaining importance with subsequent breakthroughs in Deep Learning and Machine learning. It's important to understand the difference between the three verticals. While Artificial intelligence with a set of restricted commands is a mimic of human intelligence, Machine Learning is one of the Algorithms of AI, and Deep learning is one of the techniques of AI.

LETS FRAGMENT IT FURTHER

While some people have been using the terms interchangeably, there is a line of difference amongst them. Machine learning involves feeding a computer with data and statistical techniques to learn and produce output while letting it get progressively better at the task by taking in commands pervasively. It is not specifically programmed for everything; it learns and evolves in intelligence. Moreover, it is being preferred by developers as it eliminates the need for written coding. As such machine learning is a blend of programmed learning with supervised labeled data sets and unsupervised learning without actual coding sets. Deep learning is a combination and set of neural network architecture although it is part of machine learning. Deep learning works with data processing taking place amongst a number of hidden layers and making it proficient enough to learn in deep and giving better output results •
WRAPPING UP

AI is being extensively used by Python development companies to make smart devices which work with programmed coding and continuous commands over the process. Artificial intelligence is heading forward to a period where everything will be automated, sorted and processed with minimal coding and greater smartness.