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llough wanted to include mind. He turned to cultural anthropologists Gregory Bateson and Margaret Mead to make the connection to the social sciences. Bateson in particular was increasingly talking about patterns and processes, or “the pattern that connects.” He called for a new kind of systems ecology in w
use, because this method lacks transparency. While recognizing the impressive achievements in deep learning by colleagues such as Michael Jordan and Geoffrey Hinton, he feels uncomfortable with this kind of opacity. He set out to understand the theoretical limitations of deep-learning systems and points out that
ly in the body but also in pathways outside the body, and there is a larger Mind, of which the individual mind is only a subsystem. This larger Mind, Bateson holds, is comparable to God, and is perhaps what some people mean by “God,” but it is still immanent in the total interconnected social system and pl
euroscience communities need to interact closely, something that is happening already. Some of today’s greatest exponents of machine learning—such as Geoffrey Hinton, Zoubin Ghahramani, and Demis Hassabis—have backgrounds in cognitive neuroscience, and their success has been at least in part due to attempts to mod
llough wanted to include mind. He turned to cultural anthropologists Gregory Bateson and Margaret Mead to make the connection to the social sciences. Bateson in particular was increasingly talking about patterns and processes, or “the pattern that connects.” He called for a new kind of systems ecology in w
use, because this method lacks transparency. While recognizing the impressive achievements in deep learning by colleagues such as Michael Jordan and Geoffrey Hinton, he feels uncomfortable with this kind of opacity. He set out to understand the theoretical limitations of deep-learning systems and points out that
ly in the body but also in pathways outside the body, and there is a larger Mind, of which the individual mind is only a subsystem. This larger Mind, Bateson holds, is comparable to God, and is perhaps what some people mean by “God,” but it is still immanent in the total interconnected social system and pl
euroscience communities need to interact closely, something that is happening already. Some of today’s greatest exponents of machine learning—such as Geoffrey Hinton, Zoubin Ghahramani, and Demis Hassabis—have backgrounds in cognitive neuroscience, and their success has been at least in part due to attempts to mod
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