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From “Little Women” to “Harry Potter,” children’s literature is a treasure trove of literary magic.
Written in multiple genres and featuring some of literature’s most memorable characters and worlds, fiction for young audiences offers narratives into which to escape even while it teaches lessons about the real world.
This volume traces the history of the world’s most beloved children’s fiction, showcasing the vast breadth of iconic literature written for children.
How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in artificial intelligence strive to achieve this through technology. “The Self-Assembling Brain” tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network?
As Peter Robin Hiesinger argues, “the information problem” underlies both fields, motivating the questions driving forward the frontiers of research.
