Artificial intelligence and brain research : neural networks, deep learning and the future of cognition / Patrick Krauss.
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 explai...
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Full Text (via Springer) |
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| Other title: | Künstliche Intelligenz und Hirnforschung. English |
| Format: | eBook |
| Language: | English German |
| Published: |
Berlin, Germany :
Springer,
2024.
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| Subjects: |
Table of Contents:
- 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.