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Artificial Intelligence and Brain Research: Neural Networks, Deep Learning and
USD31,33
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Ubicado en: Sparks, Nevada, Estados Unidos
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Entrega prevista entre el jue. 18 sep. y el jue. 25 sep. a 94104
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N.º de artículo de eBay:286214967239
Última actualización el 26 jul 2025 09:51:23 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Book Title
- Artificial Intelligence and Brain Research: Neural Networks, Deep
- Publication Date
- 2024-07-13
- ISBN
- 9783662689790
Acerca de este producto
Product Identifiers
Publisher
Springer Berlin / Heidelberg
ISBN-10
3662689790
ISBN-13
9783662689790
eBay Product ID (ePID)
16065691858
Product Key Features
Number of Pages
Xii, 260 Pages
Publication Name
Artificial Intelligence and Brain Research : Neural Networks, Deep Learning and the Future of Cognition
Language
English
Subject
Life Sciences / Neuroscience, Intelligence (Ai) & Semantics, General, Biomedical
Publication Year
2024
Type
Textbook
Subject Area
Mathematics, Computers, Technology & Engineering, Science
Format
Trade Paperback
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Original Language
German
Dewey Decimal
006.32
Table Of Content
Part I: Brain research.- The most complex system in the universe.- Building blocks of the nervous system.- Organization of the nervous system.- Organization of the cortex.- Imaging techniques: Watching the brain think.- Memory.- Language.- Cognitive maps and navigation in mental spaces.- Consciousness.- Part II: Artificial intelligence.- What is artificial intelligence.- How does artificial intelligence learn.- Playful artificial intelligence.- Recurrence: learning is not a one-way street.- Creativity: generative artificial intelligence.- Language-talented AI: ChatGPT and co.- How AI learns to learn.- What are AI developers researching today?.- Part III: Challenges.- What is a toaster? Dangerous stickers and other attacks.- Images in rain and sun: It's all about the data.- Hallucinating machines: Fact checks and world models.- Alchemy, reproducibility and black boxes.- A critical appraisal: What AI can't (yet) do.- Challenges of brain research.- What does it mean to understand a system?.- Part IV: Integration.- AI as a tool in brain research.- AI as a model for the brain.- Neuroscience 20: Using brain research to understand AI.- The brain as a template for AI.- Conscious machines?.- Outlook: Holodecks, uploads, brains in tanks and the singularity.
Synopsis
How does artificial intelligence (AI) work and are there parallels to the human brain? What do natural and artificial intelligence have in common, and what are the differences? Is the brain nothing more than a biological computer? What are neural networks and how can the term deep learning be explained simply? Since the cognitive revolution in the middle of the last century, AI and brain research have been closely intertwined. There have been several spectacular breakthroughs in the field of AI in recent years, from alphaGo to DALL-E 2 and ChatGPT , which were completely unthinkable until recently. However, researchers are already working on the innovations of tomorrow, such as hybrid machine learning or neuro-symbolic AI. But what does this actually mean? Based on current research findings and exciting practical examples, this non-fiction book provides an understandable introduction to the basics and challenges of these fascinating disciplines. You will learn what neuroscience and psychology know about how the brain works and how artificial intelligence works. You will also learn how AI has revolutionized our understanding of the brain and how findings from brain research are used in computer science to further develop AI algorithms. Discover the fascinating world of these two disciplines. Find out why artificial intelligence and brain research are two sides of the same coin and how they will shape our future.
LC Classification Number
RC321-580
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