Artificial Intelligence in practice

mediumThis post was originally published by at Medium [AI]

We have heard for years that remarkable innovations in the field of artificial intelligence (AI) will change virtually every aspect of our lives. Artificial intelligence has been used for years in areas we are not even aware of. Siri analyzes what we say. A robot dog that decides how to behave. Tesla, which, even on winding, mountainous, and most importantly Polish roads, can travel several kilometers without a minor stutter and without a problem, fully autonomously. Have you wondered in which direction this technology will develop?

What is Artificial Intelligence?

Simply put, artificial intelligence is systems or machines that mimic human intelligence in order to perform tasks and can successively improve their operation based on the information collected. AI takes various forms that surround you, even if you don’t know it.

The first is Chatbots that use artificial intelligence to classify customer problems faster and provide more accurate answers.

The second form is intelligent assistants that use AI to analyze critical information from large text datasets to improve scheduling such as Siri.

It is also worth mentioning here the recommendation engines, such as the Google search engine, which can provide automatic recommendations for the information searched for. AI is more about the process and capabilities of super-aided thinking and data analysis than about a specific format or function. Artificial intelligence is associated with functional, humanoid robots taking over the world, but it is not intended to replace humans. In fact, it is to significantly increase the possibilities and effects of people’s work. This means that it should be classified as one of the company’s most valuable resources.

How does Artificial Intelligence (AI) work?

Man acquires new abilities throughout his life, and modern humans have skills for which they were not prepared by evolution, e.g. they build artificial intelligence. Therefore, the brain has great possibilities to adapt to new abilities. It’s mapping in mathematical or electronic form gives the same skill to the machine. The work of the brain is based on the electrical activity of the smallest elements — neurons. These cells communicate with each other through connections called synapses. As a result of learning, some connections are strengthened, as a result of which circuits responsible for individual tasks are created.

Artificial neural networks, on which artificial intelligence is based, work very similarly. An artificially intelligent computer system makes predictions or takes actions based on patterns in existing data and can then learn from errors to increase its accuracy.

A few facts about AI

The idea behind AI technology is older than you think. Most likely you’ve heard of Alan Turing — an English computer scientist, cryptologist, and mathematician who is considered the father of AI due to the so-called Turing machine intelligence test, which he introduced in 1950. Nevertheless, the very idea of ​​artificial intelligence appeared long before that. It is enough to recall the great “robots” of Hephaestus from Greek mythology and medieval alchemists who believed that the human brain could be placed in an inanimate object.

Artificial intelligence uses female voices

Have you ever wondered why most AI-based interfaces are “women”? The fact is that female voices are clearer and have a higher tone than male voices. This makes them easier to understand. But we also have a theory — specialists currently working with artificial intelligence are mostly men.

The bright future of AI in art

The latest tests of artificial intelligence have proven that computer programs can be creative. Moreover, they are able to create masterpieces no worse than those that came from the hands of recognized artists. Google Deep Dream and The Next Rembrandt are just two of many examples of artificial intelligence that can produce art indistinguishable from that made by humans.

Robots can repair themselves

The development of artificial intelligence made it possible to automatically repair robots. However, it’s not that they understand that they are broken, but that they can find out that something is wrong with their performance and easily fix the problem if necessary. This is a huge leap forward in AI.

AI startups attract more investors

Investing in AI startups in recent years has shown strong and rapid growth. Artificial Intelligence is undoubtedly a “hot” topic that attracts people willing to invest in AI hardware and robotic applications.

Which languages you should learn for artificial intelligence?

Python and artificial intelligence

Python is the undisputed leader among AI programming languages. It is widely used in all industries and is loved for its simplicity, flexibility, and scalability. Python is open source. This means that it allows you to create your own modifications that developers deem necessary. The language is constantly evolving, facilitating its syntax, which only contributes to its efficiency.

Lisp and AI

Lisp is one of the oldest programming languages ​​and I will mention here that it is the ancestor of several current AI programming languages. In fact, the term artificial intelligence came about and was officially introduced after the invention of Lisp by John McCarthy in the 1950s. At the time, this was fundamental and strengthened AI programming as a functional machine learning tool. It’s not a frequently used AI language, though, but is a good stopover for sophisticated enthusiasts who like to study the history of programming.

C ++ in the context of artificial intelligence

C ++ is called the “fastest programming language” and is therefore often used to develop computer games, desktop applications, and search engines. For example, Google Chrome is based on C ++. This AI programming language is primarily a tool for building complex products such as banking software, cloud systems, and enterprise software. When it comes to AI programming, C ++ has machine learning and neural network libraries available to help you execute complex algorithms faster. Overall, many developers choose this language for developing high-productivity applications, not least for AI projects.

Java and AI

Java is one of the most popular programming languages ​​and this is also the case with artificial intelligence. Its supporters mainly refer to the Java Virtual Machine technology, which makes the AI ​​language easy to implement on various platforms. Its significant advantages are ease of use and quick debugging.

R, and creating artificial intelligence

R is one of the AI ​​programming languages ​​that has gained popularity due to very specific and well-performed tasks. R is especially good at parsing large numbers, and it does it even better than Python. A recent Kaggle survey says R is often the first choice for software that uses a lot of statistical data.

Prologue and the creation of machine intelligence

The last programming language on my list is Prolog. Means “Programming in logic”. This programming language for artificial intelligence was created in 1960 and differs from other languages ​​that are currently used in artificial intelligence programming. As its name suggests, Prolog is a logical language that differs from the “classic” AI languages. It works with several basic mechanisms such as pattern matching and automatic undo. From a programmer’s point of view, it presupposes rules, facts, and end goals. However, not every AI programmer decides to choose Prolog by choosing to learn AI programming languages.

Artificial intelligence in business

Artificial intelligence has great potential in optimizing the business processes of companies. Many of them have already shown that the application of an AI-based solution has brought them many benefits, not only financial ones.

Choosing a programming language for artificial intelligence always depends on a number of key factors:

  • the specifics of your company or product, whether it is a new or existing product,
  • what is the market like
  • who are your customers or users,
  • what is the expected load,
  • what problems are you trying to solve
  • what are your goals etc.

In addition, many solutions are based not only on one of the technologies mentioned above but on a few that only in the right combination allow you to implement the desired functionality and achieve high performance.

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This post was originally published by at Medium [AI]

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