Modern computers are clearly inferior to the human brain in energy efficiency. While modern computers spend a huge amount of energy on processing and transferring data, the human brain copes with the most difficult tasks, consuming only 20 watts - like a small LED lamp. What if processors could work on a similar principle? Scientists are already creating neural systems based on artificial analogs of neurons: they process data 10 times faster than neural networks on traditional processors, while consuming much less energy. In the new material "GigaScience" - a joint popular science project of Sber and RBC - we tell how neural computers are built, how they differ from conventional processors and why they can become the basis for the next generation of AI. To understand the features of the technology helps GigaChat neural network. Advertising, Sberbank, 18 +.

Modern computers are clearly inferior to the human brain in energy efficiency. While modern computers spend a huge amount of energy on processing and transferring data, the human brain copes with the most difficult tasks, consuming only 20 watts - like a small LED lamp. What if processors could work on a similar principle? Scientists are already creating neural systems based on artificial analogs of neurons: they process data 10 times faster than neural networks on traditional processors, while consuming much less energy. In the new material "GigaScience" - a joint popular science project of Sber and RBC - we tell how neural computers are built, how they differ from conventional processors and why they can become the basis for the next generation of AI. To understand the features of the technology helps GigaChat neural network. Advertising, Sberbank, 18 +.