LEADER 05260nam 22005895 450 001 9910874667103321 005 20240712125421.0 010 $a9783662689806$b(electronic bk.) 010 $z9783662689790 024 7 $a10.1007/978-3-662-68980-6 035 $a(MiAaPQ)EBC31526863 035 $a(Au-PeEL)EBL31526863 035 $a(CKB)32813344000041 035 $a(DE-He213)978-3-662-68980-6 035 $a(EXLCZ)9932813344000041 100 $a20240712d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Brain Research $eNeural Networks, Deep Learning and the Future of Cognition /$fby Patrick Krauss 205 $a1st ed. 2024. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2024. 215 $a1 online resource (258 pages) 311 08$aPrint version: Krauss, Patrick Artificial Intelligence and Brain Research Berlin, Heidelberg : Springer Berlin / Heidelberg,c2024 9783662689790 327 $aPart 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. 330 $aHow 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. The author Patrick Krauss studied medicine, computer science and physics. After completing his doctorate in neuroscience, he habilitated in linguistics on the subject of language processing in neural networks and the brain. He researches and teaches at the University of Erlangen-Nuremberg and the University Hospital Erlangen on topics at the interface of neuroscience, artificial intelligence and language. His scientific work includes over 80 publications. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. . 606 $aNeurosciences 606 $aArtificial intelligence 606 $aNeurotechnology (Bioengineering) 606 $aComputer science 606 $aNeuroscience 606 $aArtificial Intelligence 606 $aNeuroengineering 606 $aComputer Science 615 0$aNeurosciences. 615 0$aArtificial intelligence. 615 0$aNeurotechnology (Bioengineering). 615 0$aComputer science. 615 14$aNeuroscience. 615 24$aArtificial Intelligence. 615 24$aNeuroengineering. 615 24$aComputer Science. 676 $a612.8 700 $aKrauss$b Patrick$01749401 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910874667103321 996 $aArtificial Intelligence and Brain Research$94183651 997 $aUNINA