Artificial intelligence is becoming an indispensable assistant to scientists, accelerating research and making it more accessible. Alexey Tolstikov, head of Yandex Data Analysis School, stated that artificial intelligence expands the boundaries of knowledge and helps solve previously impossible problems. These technologies make experiments cheaper and facilitate the implementation of interdisciplinary projects. For example, AlphaFold algorithms already allow the creation of accurate protein models that will revolutionize biochemistry.
In scientific research, AI often acts as a filter that helps focus on the most promising hypotheses. This saves resources that might be needed to test less successful ideas. ShAD graduate Andrey Chursov emphasized that manually analyzing billions of molecules would take billions of years, while machine learning can handle this in a few hours. Beyond biochemistry, AI is already being used to track rare animal populations like leopards in national parks and predict the effects of volcanic eruptions.
But the widespread introduction of artificial intelligence into science is fraught with difficulties. The technology remains expensive, and algorithmic errors in fields such as medicine and education can have serious consequences. According to Tolstikov, it is important to test smart systems in real conditions to avoid unforeseen risks. He believes that artificial intelligence will become as common a tool for science as computers, and that its potential is just beginning to be revealed.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
