Deep Learning Can’t be Trusted Brain Modelling Pioneer Says

IEEE Spectrum  December 30, 2021 The inability of a typical deep learning program to perform well on more than one task severely limits application of the technology to specific tasks in rigidly controlled environments. It has been claimed that deep learning is untrustworthy because it can experience catastrophic forgetting. It might therefore be risky to use deep learning on any life-or-death application, such as a medical one. In his new book Conscious Mind, Resonant Brain: How Each Brain Makes a Mind, Professor Stephen Grossberg of Boston University describes an alternative model for both biological and artificial intelligence based on cognitive […]