Artificial Intelligence and Brain Research

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.

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• Inteligência artificial
• Neurociências
• Engenharia biomédica

Neural networks;Brain research;Black Box Problem;Machine Learning;Mind Brain Machine;Computer science;Neurobiology;Neurosciences;Cognitive science;Artificial intelligence (AI);Deep Learning;Awareness;Machine learning;Autonomous driving;ChatGPT, alphaGo, DALL-E 2;Algorithms;Robot;Psychology;Cognitive revolution;Language processing