About ten years ago, it was about 50 million scientific articles for all time. Today there are clearly more of them. Thanks to the democratization of machine learning technologies, technologies using artificial intelligence, a scientist does not have to figure out how it will work at the programming level. Previously, it was necessary to recognize images, for example, a tumor, manually, then an algorithm appear, but a specialist was ne nearby, and now you may not be a specialist – just upload the data and then the “machine” itself finds patterns, solutions. This helps you move forward faster and ask more difficult questions.
Many external and internal factors
Such solutions for various fields, for example, are offer by Bahrain Phone Number List scientists from ITMO, Polytechnic University, DSTU, Siberian Feral University and many other universities. And although we can now model much more than before, adequate models in many areas. That is, models that describe the current situation, repeating it in digital form, taking into account. We can do a little more in mechanics, less in chemistry, even less in micine, and very little in society. And in every field of knowlge the movement is uneven. When we try to do this with the help of technology.
When to expect a confrontation of intellects
There is a problem of validation and verification of the USA CFO 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. “Artificial intelligence 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.