… to some of the impressive feats of machine learning, particularly deep learning. This has
resulted in … We argue that, based on considerations concerning human and nonhuman animal …

… It requires the ability to draw logical inferences, anticipate consequences of actions, and
devise optimal strategies to achieve specific goals. Reinforcement learning combined with …

… machines. Their expertise in machine learning, robotics, and computational intelligence …
ethical responsibilities include considering the societal implications of their work, adhering …

… is mostly associated with the deep learning, ie, with the abilities … The significance of such
objective has two dimensions. On the … roadmap of AGI development towards Industry 4.0 needs. …

… , including machine learning, is an obstacle to creating artificial general intelligence (AGI). …
is functionally considered to encode the same type of meaning. B: The leftmost circuit in A is …

… In addition, we lay out key roadmaps that guide the … to offer insights into the future
implications of AGI in medical … In traditional reinforcement learning, an agent learns through …

… This study has some limitations, meaning that the … deep learning renders it too difficult to
survey using this paper’s project-by-project methodology. Furthermore, if all of deep learning …

… networks (also known as deep learning methods) such as … In contrast, the latter (also called
artificial general intelligence… and subliminal consequences and effects that technology can …

… intelligence, but general intelligence. Although some people look forward to achieving artificial
general intel… Neural networks and other forms of machine learning helped to make it more …

… advances in AI have profound implications for how we live … : to build what is often called
artificial general intelligence (or AGI). … 15 As we shall see in Chapter 6, in machine learning, this …