What is Artificial Intelligence? The Present and Future of Programming

Artificial intelligence today seems to be part of every conversation. Interesting thought, considering that we are the last generation smarter than the machines we ourselves have created. Can you believe it? Well, pay attention because we are now going to break down the answer to the question "what is artificial intelligence", and also look at the present and future of programming. Keep reading to find out!

Intelligent Machines

Artificial intelligence is the intelligence of machines, obtained by combining large amounts of data, machine learning and programming, deep learning based on emulating brain systems and building neural networks.

This is a multifaceted phrase that includes phenomena such as recognition, transcription, and reproduction of human voice and sounds, among others.

What is Machine Learning?

Machine learning is automatic learning or machine learning, a subfield of computer science and a branch of artificial intelligence whose goal is to develop methods that allow computers to learn.

Even if you've never thought about it, the truth is that every day we use virtual intelligence tools that make our lives easier.

Siri/Alexa
Personal assistants help us find any information, manage our schedules, send emails... Thanks to machine learning, they can improve their functions by predicting and better understanding our requests, as well as how each of us uses language.

Netflix
By analyzing millions of ratings in its catalog, Netflix can recommend new movies/series to its users based on their tastes.

IBM
This platform uses machine learning and natural language processing to analyze unstructured customer data.

Can Machines Talk Like Humans?

In 1950, the famous mathematician Alan Turing asked exactly this question in his article "Computing Machinery and Intelligence". Today, seventy years later, reality has given an answer.

Artificial intelligence provides enormous communication, commercial, and business advantages. All this makes it a crucial technology for the coming decades. Transport, education, healthcare, culture, tourism... No industry will resist its charms.

Finance
Smart technologies will help banks detect fraud, predict market patterns, and advise their clients on transactions.

Education
AI provides information on whether a student is planning to cancel their registration, and can also suggest new courses or create personalized offers to optimize learning.

Commerce
AI enables sales forecasts and selecting the right product to recommend to customers. Companies like Amazon use robots to determine whether a book will be successful even before its release.

Amazon.com
Thanks to continuous improvement of its algorithms, the company can already predict which products online shoppers are interested in by studying their online behavior.

Climate developments
The use of AI to combat climate change includes many types of actions, such as fleets of drones capable of planting a billion trees a year to fight deforestation, unmanned underwater vehicles to detect leaks in oil pipelines, smart buildings designed to reduce energy consumption, etc.

Agriculture
Some specific AI platforms can use predictive analysis to increase yields and warn about adverse environmental impacts.

Logistics and transport
AI will be useful for preventing collisions and traffic jams, as well as optimizing traffic flow.

Healthcare
Today there are chatbots that ask us about symptoms to make a diagnosis. Data collection helps derive patterns that identify genetic factors predisposing to the development of a particular disease.

Artificial intelligence (AI) is a set of algorithms developed to create machines with the same capabilities as humans. A technology that still remains distant and mysterious to us, nevertheless, has already become part of our daily lives.

Types of Artificial Intelligence

Just as we know there are various artificial intelligence tools that we regularly use without even realizing it, when classifying the intelligence of artificial systems, there are different types of AI:

Systems that think like humans
They automate actions such as decision making, problem solving, and learning. An example of this type of AI is artificial neural networks.

Systems that act like humans
These computers are capable of performing tasks similar to those performed by humans. Such as robots, for example.

Systems that think rationally
They try to imitate rational logical thinking of humans, i.e., they explore how to make machines perceive, reason, and act accordingly. Expert systems belong to this group.

Systems that act rationally
These systems try to rationally imitate human behavior, for example, intelligent agents.

The goal of artificial intelligence is to make people's lives easier.

• Rules governing the operation of intelligent machines
• Robots must have an emergency switch to avoid any dangerous situation.
• They cannot harm humans. Robots are designed to help and protect people.
• Emotional relationships cannot arise.
• Insurance will be mandatory for large machines. In case of property damage, costs will be borne by the owners.
• The rights and obligations of people involved in the process will be legally classified.
• Machines will pay social insurance. Their entry into the labor market will affect the workforce of many companies. Robots will have to pay taxes to subsidize the unemployment they may cause.

Python: The Language of Intelligent Machines

Currently, Python is the programming language for artificial intelligence and neural networks. This language is suitable for machines equipped with artificial intelligence for several reasons. These include the following:

• Python has a larger community ensuring its support, thus surpassing Java.
• It has a number of open-source libraries that offer AI resources and are always available.
• Python is a dynamic language, allowing very fast programming. Moreover, compared to other programming languages, it allows learning in a very short time.
• Python offers more resources for learning AI: many platforms providing online learning opportunities through blog articles, books, courses, and more resources appear every day.
• Python is an interpreted language and does not need compilation. The developer can directly use it and thus apply the program. Therefore, it is considered a full-fledged language.

Advantages of Programming in Python

• Python as a programming language can be used in any field and technology because it is general-purpose.
• Python implements automatic memory management, supporting various programming paradigms.