NUST MISIS develops mathematical method for assessing AI reliability
Researchers at NUST MISIS have presented a mathematical method that makes it possible to assess in advance how reliably artificial intelligence can use knowledge acquired while solving one task to perform another. The development is based on a new theorem that makes it possible to formally prove under which conditions knowledge transfer between machine learning models will be reliable.



