That is models that describe the current situation, repeating it in digital form, taking into account many external and internal factors. Less in chemistry, even less in micine, and very little in society. And in every field of knowlge the movement is uneven, there is a problem of validation and verification of the receiv data. How much can we trust them? Only by answering this question, you can proce to the next stage – standardization and certification. And now we can not always reproduce the result. As soon as we can do this, we go even further, which opens up the scope, for example, in industry.
We can do a little more in mechanics
When to expect a confrontation of intellects “Artificial intelligence Algeria Mobile Number List technologies have come a long way. Can AI replace a scientist? – Not yet. It’s still a supporting technology. Even if we turn to a very recent example of defending a thesis written with the help of AI. Even there, we are talking about the analytical part – to collect and analyze existing data. For example, scientists can thus test a hypothesis, narrow the search area, and perform routine operations. In some studies, you can not grow cultures in a Petri dish, but use a mathematical model, rucing the research time, and leave cultivation to confirm the hypothesis. Or, with the help of train AI, to recognize tumors, to find some non-obvious patterns.
When we come to a real AI capable
What such technologies cannot do is generate new areas BT Lists of knowlge or look for fundamentally new solutions. They can analyze the available data, but synthesizing new knowlge from this is still very limit. Will this ever be possible? – Rather, of thinking independently. Last year, a project came to our foundation that want to answer the question – is it possible to mathematically assess that an artist has fallen into a state of inspiration? Is it possible to evaluate this process, reproduce it in numbers.
