Only by answering this question

To collect data and have accumulat a huge array of them, this is great news. 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. 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.

Work at the programming level

This helps you move forward faster and ask more difficult questions. Such solutions for various fields, for example, are offer by scientists from ITMO, Polytechnic Henan Mobile Phone Number List University, DSTU, Siberian Feral University and many other universities. And although we can now model much more than before, we are not yet able to build highly adequate models in many areas. That is, models that describe the current situation, repeating it in digital form, and internal factors. 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.

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Taking into account many external

When we try to do this with the help of technology, there is a problem of validation and verification of the receiv data. How much can we trust them? you can USA CFO 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. When to expect a confrontation of intellects “Artificial intelligence technologies have come a long way. Can AI replace a scientist? – Not yet. It’s still a supporting technology.

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