Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI
Abstract The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI r...
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Gespeichert in:
| Autor*in: |
Cao, Longbing [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2024 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2024 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of data science and analytics - Springer International Publishing, 2016, 18(2024), 3 vom: 27. Juli, Seite 219-238 |
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| Übergeordnetes Werk: |
volume:18 ; year:2024 ; number:3 ; day:27 ; month:07 ; pages:219-238 |
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| DOI / URN: |
10.1007/s41060-024-00615-9 |
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| Katalog-ID: |
SPR057022046 |
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| 520 | |a Abstract The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The synergy between conventional, human-like, generative, decentralized, humanoid, and metaverse AI unlocks the potential to overcome previous limitations, impossibilities, unknowns, and dreams of AI and technology. | ||
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| 650 | 4 | |a Humanoid AI |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Metaverse AI |7 (dpeaa)DE-He213 | |
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10.1007/s41060-024-00615-9 doi (DE-627)SPR057022046 (SPR)s41060-024-00615-9-e DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ Cao, Longbing verfasserin aut Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The synergy between conventional, human-like, generative, decentralized, humanoid, and metaverse AI unlocks the potential to overcome previous limitations, impossibilities, unknowns, and dreams of AI and technology. Artificial intelligence (AI) (dpeaa)DE-He213 X-intelligence (dpeaa)DE-He213 Data science (dpeaa)DE-He213 X-AI (dpeaa)DE-He213 X-Tech (dpeaa)DE-He213 AI for technology (dpeaa)DE-He213 AI4Tech (dpeaa)DE-He213 Human-like AI (dpeaa)DE-He213 Generative AI (dpeaa)DE-He213 Decentralized AI (dpeaa)DE-He213 Humanoid AI (dpeaa)DE-He213 Metaverse AI (dpeaa)DE-He213 Enthalten in International journal of data science and analytics Springer International Publishing, 2016 18(2024), 3 vom: 27. Juli, Seite 219-238 (DE-627)84425083X (DE-600)2843078-5 2364-4168 nnns volume:18 year:2024 number:3 day:27 month:07 pages:219-238 https://dx.doi.org/10.1007/s41060-024-00615-9 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2024 3 27 07 219-238 |
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10.1007/s41060-024-00615-9 doi (DE-627)SPR057022046 (SPR)s41060-024-00615-9-e DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ Cao, Longbing verfasserin aut Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The synergy between conventional, human-like, generative, decentralized, humanoid, and metaverse AI unlocks the potential to overcome previous limitations, impossibilities, unknowns, and dreams of AI and technology. Artificial intelligence (AI) (dpeaa)DE-He213 X-intelligence (dpeaa)DE-He213 Data science (dpeaa)DE-He213 X-AI (dpeaa)DE-He213 X-Tech (dpeaa)DE-He213 AI for technology (dpeaa)DE-He213 AI4Tech (dpeaa)DE-He213 Human-like AI (dpeaa)DE-He213 Generative AI (dpeaa)DE-He213 Decentralized AI (dpeaa)DE-He213 Humanoid AI (dpeaa)DE-He213 Metaverse AI (dpeaa)DE-He213 Enthalten in International journal of data science and analytics Springer International Publishing, 2016 18(2024), 3 vom: 27. Juli, Seite 219-238 (DE-627)84425083X (DE-600)2843078-5 2364-4168 nnns volume:18 year:2024 number:3 day:27 month:07 pages:219-238 https://dx.doi.org/10.1007/s41060-024-00615-9 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2024 3 27 07 219-238 |
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10.1007/s41060-024-00615-9 doi (DE-627)SPR057022046 (SPR)s41060-024-00615-9-e DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ Cao, Longbing verfasserin aut Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2024 Abstract The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The synergy between conventional, human-like, generative, decentralized, humanoid, and metaverse AI unlocks the potential to overcome previous limitations, impossibilities, unknowns, and dreams of AI and technology. Artificial intelligence (AI) (dpeaa)DE-He213 X-intelligence (dpeaa)DE-He213 Data science (dpeaa)DE-He213 X-AI (dpeaa)DE-He213 X-Tech (dpeaa)DE-He213 AI for technology (dpeaa)DE-He213 AI4Tech (dpeaa)DE-He213 Human-like AI (dpeaa)DE-He213 Generative AI (dpeaa)DE-He213 Decentralized AI (dpeaa)DE-He213 Humanoid AI (dpeaa)DE-He213 Metaverse AI (dpeaa)DE-He213 Enthalten in International journal of data science and analytics Springer International Publishing, 2016 18(2024), 3 vom: 27. Juli, Seite 219-238 (DE-627)84425083X (DE-600)2843078-5 2364-4168 nnns volume:18 year:2024 number:3 day:27 month:07 pages:219-238 https://dx.doi.org/10.1007/s41060-024-00615-9 X:SPRINGER Resolving-System kostenfrei Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 18 2024 3 27 07 219-238 |
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It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. 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ai4tech: x-ai enabling x-tech with human-like, generative, decentralized, humanoid and metaverse ai |
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Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI |
| abstract |
Abstract The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The synergy between conventional, human-like, generative, decentralized, humanoid, and metaverse AI unlocks the potential to overcome previous limitations, impossibilities, unknowns, and dreams of AI and technology. © The Author(s) 2024 |
| abstractGer |
Abstract The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The synergy between conventional, human-like, generative, decentralized, humanoid, and metaverse AI unlocks the potential to overcome previous limitations, impossibilities, unknowns, and dreams of AI and technology. © The Author(s) 2024 |
| abstract_unstemmed |
Abstract The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). It represents an ecosystem of comprehensive AI paradigms and the flourishing development of deep learning, large language models, and generative AI applications. X-AI reignites the debate on fundamental AI questions: What is AI? What constitutes machine intelligence? What are the implications when AI integrates with business and technology in the new era of artificial general intelligence and human-like AI? This article aims to inspire critical thinking, debate, and discussion on this new era of AI meeting technology, shaping AI4Tech through X-AI enabling X-Tech. We explore the ecosystems of X-AI and X-Tech and the general and domain-specific AI4Tech areas. X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The synergy between conventional, human-like, generative, decentralized, humanoid, and metaverse AI unlocks the potential to overcome previous limitations, impossibilities, unknowns, and dreams of AI and technology. © The Author(s) 2024 |
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Ai4tech: X-AI enabling X-Tech with human-like, generative, decentralized, humanoid and metaverse AI |
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https://dx.doi.org/10.1007/s41060-024-00615-9 |
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10.1007/s41060-024-00615-9 |
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2024-08-20T04:49:25.393Z |
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| score |
7.4004126 |