Artificial sleep helps AI learn new tasks without losing them
The phenomenon of artificial intelligence acquiring and retaining knowledge in numerous activities can be likened to the cognitive process of sleep, which aids in the consolidation of information acquired during wakefulness. Maxim Bazhenov, a researcher at the University of California, San Diego, highlights the current prominent inclination to include concepts from neurology and biology into the enhancement of established machine learning techniques, with sleep being a notable area of focus. Numerous artificial intelligences exhibit a limitation whereby they possess the ability to proficiently handle a singular collection of precisely defined jobs, yet they lack the capacity to acquire supplementary knowledge subsequently without forfeiting all previously acquired knowledge. According to Pavel Sanda from the Czech University of Sciences in the Czech Republic, a challenge arises when attempting to design systems that possess the ability to engage in lifelong learning. The process ...