Artificial Intelligence : The prospect of building artificial systems capable of thinking and acting as humans have will discuss throughout history. In this era of exponential computing and digitisation, it was only a matter of time before an appealing concept like Artificial Intelligence began to gain traction. But, first and foremost, what is It Artificial Intelligence?
Artificial intelligence (AI) is the computer emulation of human intelligence.
It is a science that aims to develop systems that can learn and also reason like humans, learn from experience, figure out how to solve issues under specific circumstances, compare and also contrast data, and do logical tasks. The fact that a system has humanoid hardware and physically acts like one is a field of robotics that differs from Artificial Intelligence. It does not focus on replicating human thought and also reasoning. If a machine could learn and think like a person, it would have significant advantages over its speed and also calculating ability.
Artificial intelligencfe (AI) is not the latest concept; for example, philosopher Descartes hypothesised the possibility of intelligent automata in the 17th century. Of course, it wasn’t until the middle of the twentieth century that the topic became relevant.
Alan Turing offered one of the first formal challenges on this subject in 1950. Which consisted of the following test: A system is clever enough if it can pass itself off as a human when will question a judge. Curiously. This test is still a massive challenge to this day.
Years later, at the legendary 1956 Dartmouth Conference, prominent computer scientist John McCarthy invent the phrase Artificial Intelligence. However, what appeare to be the rise of a branch of technological research end in decades of speculation and also isolated projects. It turned out to be an area where no one dared to invest money substantially.
AI has become an unstoppable trend. The milestones in this field are beginning to be very numerous. From expert systems capable of beating a human in any intellectual activity to virtual assistants capable of organising our day-to-day lives. With the arrival of the new century and also the remarkable technological evolution.
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It will find in each corner of the modern world. Yes, we do not forever find it in the form of comfy virtual assistants capable of recognising our voices. Let’s look at some examples. From the simplest to the most complex:
Home automation is one of the easy fields of Artificial Intelligence that users have enjoyed.
It is not one of the main striking AIso. Still. Companies like Google or Microsoft apply a multitude of constantly evolving algorithms to detect fraudulent and SPAM-type emails.
Perhaps one of the most obvious, and for this reason. It is forgot. Still, it has always been one of the primary sources of improvement of AI. In that eternal search to get “the machine” to act coherently and aslo realistically. in a game, be it an enemy soldier or a racing car.
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They are usually very traine systems in a specific intellectual activity, will base on the knowledge of experts in the fiel. A classic example is that of systems that play chess.
Systems that make exciting use of NLP (Natural Language Processing) and improve with each experience; allow consistent two-way communication with human beings, whether oral or written.
Many companies, not only automobile companies, have jumped on the bandwagon (pun intended) of the intelligent automotive industry. Developing systems that process vast amounts of data in real-time to determine the correct trajectory of the vehicle.
AI systems, mainly driven by explore engines and social networks. Are those that analyse. All the information available to the user to show them ads with which they will probably interact
It’s the closest thing to a movie AI that we can interact with today. It recognises our voice, adapts to the way we ask for something, and can recommend entertainment according to our tastes. One of the strengths of these technologies is that they have a vast number of users. Who constantly feed them and help reinforce their learning algorithms.
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