標(biāo)題: Titlebook: Limits of AI - theoretical, practical, ethical ; Klaus Mainzer,Reinhard Kahle Book 2024 The Editor(s) (if applicable) and The Author(s), u [打印本頁(yè)] 作者: probiotic 時(shí)間: 2025-3-21 17:48
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作者: employor 時(shí)間: 2025-3-21 23:02 作者: 菊花 時(shí)間: 2025-3-22 03:15
2194-0770 IArtificial intelligence is a key technology with great expectations in science, industry, and everyday life. This book discusses both the perspectives and the limitations of this technology. This concerns the practical, theoretical, and conceptual challenges that AI has to face. In an early phase o作者: cavity 時(shí)間: 2025-3-22 06:09
Prospects for Hybrid AI,umption of a light bulb. At the latest, one is impressed by the efficiency of neuromorphic systems, that have emerged in evolution. Is there a common principle underlying these evolutionary systems that we can make use of in AI.作者: 雪上輕舟飛過(guò) 時(shí)間: 2025-3-22 11:44
Klaus Mainzer,Reinhard KahleGenerally understandable introduction to artificial intelligence.Provides an outlook on future technologies.Explains clearly the limits of AI作者: 條約 時(shí)間: 2025-3-22 16:39
Technik im Fokushttp://image.papertrans.cn/l/image/586193.jpg作者: cataract 時(shí)間: 2025-3-22 17:32 作者: 美食家 時(shí)間: 2025-3-23 00:29
The Concept of Artificial Intelligence,pt, although it has been studied at length by psychologists, biologists, and neuroscientists, AI researchers use mostly the notion of rationality, which refers to the ability to choose the best action to take in order to achieve a certain goal, given certain criteria to be optimized and the available resources.作者: BYRE 時(shí)間: 2025-3-23 02:34
Practical Limits,. This is the assumption that as soon as a fact is presented to a mind all consequences of that fact spring into the mind simultaneously with it. It is a very useful assumption under many circumstances, but one too easily forgets that it is false.作者: compose 時(shí)間: 2025-3-23 07:27 作者: TEN 時(shí)間: 2025-3-23 11:25 作者: Exposure 時(shí)間: 2025-3-23 14:46
Limits of AI - theoretical, practical, ethical 978-3-662-68290-6Series ISSN 2194-0770 Series E-ISSN 2194-0789 作者: 盡管 時(shí)間: 2025-3-23 21:10 作者: Alcove 時(shí)間: 2025-3-24 01:45 作者: 認(rèn)為 時(shí)間: 2025-3-24 03:20
Conceptual Limitations,st as long as it is still operating in the in black box mode. This is because one only need to follow up on a question, which can be answered as well as possible by the AI, with the next question: “Why?”.作者: 蝕刻 時(shí)間: 2025-3-24 07:02
Prospects for Hybrid AI,inciple equivalent to a Turing machine. According to Moore’s Law, gigantic computing and storage capacities have been achieved, which made AI performance possible in the first place. But the performance of supercomputers have a price that can be equivalent to the energy of a small town. Human brains作者: Scintigraphy 時(shí)間: 2025-3-24 13:13
ith its own problems, methods and applications. The authors decided to start working on this book during the regional CBMS conference in Lincoln, Nebraska organized by F. Gilfeather and D. Larson. The principal lecturer, J. William Helton, presented ten lectures on operator and systems theory and th作者: esoteric 時(shí)間: 2025-3-24 17:20
Klaus Mainzer,Reinhard Kahlerder structure of the random field. If (m, . is known, then as noted in 1.2, the prediction of . at unobserved locations is just a matter of calculation. To review, the conditional distribution of . at an unobserved location is normal with conditional mean that is a linear function of the observatio作者: 修正案 時(shí)間: 2025-3-24 22:56 作者: 打火石 時(shí)間: 2025-3-25 00:37 作者: 行業(yè) 時(shí)間: 2025-3-25 07:15
Klaus Mainzer,Reinhard Kahle what is meant by a good estimate of the second-order structure. In particular, it will turn out that it is possible to get (m, . nonnegligibly wrong and yet still get nearly optimal linear predictors. More specifically, for a random field possessing an autocovariance function, if the observations a作者: COST 時(shí)間: 2025-3-25 10:12 作者: 抵押貸款 時(shí)間: 2025-3-25 13:14
2194-0770 ChatGPT), it is often not transparent. The book argues for explainable and reliable AI, in which the logical and mathematical foundations of AI-algorithms become understandable and verifiable..978-3-662-68289-0978-3-662-68290-6Series ISSN 2194-0770 Series E-ISSN 2194-0789 作者: Neutral-Spine 時(shí)間: 2025-3-25 17:44
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