The fact that bacteria into “super bacteria” by gaining resistance to antibiotics is one of the biggest problems in the field of health today. Thanks to different antibiotics, this problem can be reduced slightly, but not completely eliminated. Scientists have been trying to find a solution to this problem for many years.

Professor José R. Penadés of Imperial College London and his team have been trying to solve how these super bacteria emerged for years. Apparently, they have developed a new theory about the solution of this problem, but this theory was not shared with anyone until Google’s new AI Gemini 2.0 appeared.

When Penadés found out that artificial intelligence solved the problem in two days, he shared his experience in BBC Radio Four’s Today’s Program: “I was shopping with someone and I said, ‘Please leave me alone for an hour, I have to digest it,’ I said. Penadés sent an e-mail to Google and asked if artificial intelligence saw the work of his team to achieve this result.

This will be the first thing that everyone will think of when you see that AI is fully predictable. But Google rejected the access to the research. It is said that the ancient scientist AI found the answer on its own.

“Not only the best hypothesis it offers, it is important that they offer four more hypotheses and that they all make sense.

Although it has not yet been explained what the suggestions of artificial intelligence and the suggestions that have not come to mind before, this is an important reminder of how great artificial intelligence can help in the field of science. While artificial intelligence confirms the findings of researchers, it can save tremendous time by completing the work that will last for decades.

Artificial intelligence assistants offered to general may not always give the answers we want and make mistakes, but specialized advanced artificial intelligence seems to be doing a much better job thanks to access to super computers.