Yes, definitely, the question is what predictions we have for the future and how we define the concepts in the question.
So, for example, now there is a certain trend in bioengineering, prosthetics, etc., therefore, it is quite possible that we still have to change very much our own concept of "We", as well as overestimate the vitality of the individual in years.
The very same artificial intelligence already exists. Let's not flame on the topic of "true" and "not true" intelligence. Intelligence is a group of neurons organized in a certain way. The neurons themselves are quite complex and we have not fully figured out them, but, in general, we can already simulate the action of one neuron and even build ensembles from this.
The simplest intellectual and creative tasks, namely the complexity of them, have already been solved, and it will only get steeper. And if we recall the 80s (basic kilobit Internet and phones in suitcases) and understand that only 37 years have passed) and remember about infosingularity, it turns out that it will not be long and it is worth starting to seriously think about the ethics of AI and its inevitable mutual integration with a person with all the ensuing consequences.
Everyone who writes that AI has already been created, you are confusing the concept of true AI and its imitation. What is now represented is simply a set of specific algorithms that a program executes. Those same Siri, Google Now, all chatbots, etc. is an imitation of AI, not its true meaning. This problem is very well shown in the movie "Out of the Machine", in which the protagonist had to understand whether the robot's mind is intelligence, whether it has thinking or it just works according to some algorithms. The only thing that now looks like real AI is self-learning programs, but this is still not enough to create a technical human mind.
We (you and I) are unlikely to see.
On the other hand, you and I can call artificial intelligence completely different things. Looking from some perspectives, we have seen it for seven decades. And from others, we cannot even define the term itself! :)
I propose to first classify the designation ACTION. AI has long been in action. Back when they began to create the first computer opponents in chess.
I will assume that the author of the question means the action of the intellect, which is capable of thinking like a person.
Answer: Yes, we will definitely see. AI is divided into three types: primitive, advanced, and hyper intelligent. We are now stuck between stage 1 and 2. But this is a matter of times. For the functioning of a developed intellect, a certain speed of computer processors and a certain amount of memory are required. In our case, this progress follows an exponential arc.
With such forecasts, we can assume that advanced AI will appear already somewhere in the 50-60s, or even earlier. But I want to explain why the question WHAT is more important WHEN. As soon as the AI moves to the level of human thinking, it will not stop at this level, but move on. This will all happen so quickly that no one will notice the transition between stages 2 and 3.
The most frightening thing is that scientists do not have 100% consensus on what will happen next. Then there are two possible outcomes: either humanity will die out, or become immortal. There is a chance of extinction due to the fact that hyper AI will perceive people as we are ants. And were people once interested in the interests of ant colonies in order to destroy them and build something of their own? On the other hand, AI can, on the contrary, open all possible technologies instantly, including immortality too ....
I advise you to read this article: waitbutwhy.com
Artificial intelligence is not something mythical. These technologies have been successfully used for many years. What is their essence? Artificial intelligence assumes that the machine itself makes this or that decision. Where can you find it? For example, you can "see" artificial intelligence in ABBYY FineReader, familiar to many from college students. After all, many of us have to translate paper books and documents into electronic format. FineReader uses machine learning techniques and various character images to power ABBYY OCR technology. For example, we need to recognize the letter "A". We take different types of writing it, compose it in a certain way and the machine learning algorithm: learn on such and such signs. For training, there must be a training set - a set of data, documents in which the letter "A" is found in a different style. It is from these components of machine learning - algorithms, features (those characteristics that algorithms rely on in training) and data - in this case artificial intelligence consists. Thanks to these technologies, the program itself understands what character is written and translates it into electronic form.
Another example of artificial intelligence is our other development, the technology for analyzing and understanding texts in natural languages ABBYY Compreno. It analyzes texts, creates their semantic representation and can extract really important information from arrays of unstructured texts that is convenient to work with. For example, technology helps to simplify the work of technical support services. For example, when you send a request to a customer service, it analyzes your request, understands its meaning and directs the question to a specific technical specialist. If the answer to this request has already been prepared earlier, the technology can automatically answer you.
In fact, there are already many devices around us that have, to one degree or another, artificial intelligence: these are air conditioners that can support the desired temperature, this is Siri's personal assistant in the iPhone, and there are speeding cameras on the highway that can read a license plate, determine the speed and automatically decide whether a fine should be issued. In many countries, traffic lights are programmed by machines: their mode is calculated per second, depending on the average load on the road section. The AI decides on the treatment of the track with reagents, determining the temperature of the air and asphalt, the presence of ice and taking into account the weather forecast. Automatic car steering systems, such as those used by Tesla, are also examples of artificial intelligence.
We can already see its origin. Not so long ago, the simplest AI developments began to appear in the public domain, where any user can indulge in speech and picture recognition.
Recently, an online service appeared on the network (http://hi.cs.waseda.ac. jp: 8082 /) from Japanese researchers, which allows you to test a neural network that colors black and white images.
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