The Self-Assembling Brain

How Neural Networks Grow Smarter

De: Peter Robin Hiesinger

Narrado por: Joel Richards

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI 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. How does genetic information unfold during the process of human brain development—and is there a quicker path to creating human-level artificial intelligence? Is the biological brain just messy hardware, which scientists can improve upon by running learning algorithms on computers? Can AI bypass the evolutionary programming of "grown" networks? Hiesinger explores these tightly linked questions, highlighting the challenges facing scientists, their different disciplinary perspectives, and the common ground shared by those interested in the development of biological brains and AI systems. Hiesinger contends that the information content of biological and artificial neural networks must unfold in an algorithmic process requiring time and energy. There is no genome and no blueprint that depicts the final product. The self-assembling brain knows no shortcuts.

©2021 Princeton University Press (P)2023 Tantor

Very Informative,refreshing,mind-blowing!-PDF

It's a very interesting blend of neuroscience and AI. But It would be better to get a PDF file with the Audiobook. Narrator is OK,but he could be louder)) Anyway, thanks the author for the experience.

Not a Casual Read, Substantial

This book gives the reader the biologist perspective on how brains work along with the AI researchers perspective. It is a lot to take in. I gotlot outut of it but I have raed other books on brain development