Future Goals in the AI Race: Explainable AI and Transfer Learning
... structures underlying human vision are prone to so-called optical illusions, this problem acquires a more dramatic scale with modern neural networks: there are known cases where replacing an image with noise leads to the recognition of an object that is not there,... ...,” or “strong,” AI is possible. In particular, as demonstrated by the biggest annual AI conference held in Macao , “explainable AI” and “transfer learning” are simply necessary in some cases, such as defence, security, healthcare and finance....
21.02.2020