Processing Information in the Clouds
Cloud computing makes the necessary resources available to the appropriate computation to improve scaling, resiliency, and the efficiency of computations. This makes cloud computing a new paradigm for computation by upgrading its artificial intelligence (AI) to a higher order. To explore cloud compu...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Proceedings |
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| Online Access: | https://www.mdpi.com/2504-3900/47/1/25 |
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| author | Mark Burgin Eugene Eberbach Rao Mikkilineni |
| author_facet | Mark Burgin Eugene Eberbach Rao Mikkilineni |
| author_sort | Mark Burgin |
| collection | DOAJ |
| description | Cloud computing makes the necessary resources available to the appropriate computation to improve scaling, resiliency, and the efficiency of computations. This makes cloud computing a new paradigm for computation by upgrading its artificial intelligence (AI) to a higher order. To explore cloud computing using theoretical tools, we use cloud automata as a new model for computation. Higher-level AI requires infusing features of the human brain into AI systems such as incremental learning all the time. Consequently, we propose computational models that exhibit incremental learning without stopping (sentience). These features are inherent in reflexive Turing machines, inductive Turing machines, and limit Turing machines. |
| format | Article |
| id | doaj-art-abfeb82a61404d68a63d5d539322fb40 |
| institution | OA Journals |
| issn | 2504-3900 |
| language | English |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proceedings |
| spelling | doaj-art-abfeb82a61404d68a63d5d539322fb402025-08-20T02:23:32ZengMDPI AGProceedings2504-39002020-05-014712510.3390/proceedings2020047025Processing Information in the CloudsMark Burgin0Eugene Eberbach1Rao Mikkilineni2Dept. of Math., University of California Los Angeles, Los Angeles, CA 90095, USADept. of Eng. and Sci., Rensselaer Polytechnic Institute, Hartford, CT 01609, USASchool of Business, Golden Gate University, San Francisco, CA 94105, USACloud computing makes the necessary resources available to the appropriate computation to improve scaling, resiliency, and the efficiency of computations. This makes cloud computing a new paradigm for computation by upgrading its artificial intelligence (AI) to a higher order. To explore cloud computing using theoretical tools, we use cloud automata as a new model for computation. Higher-level AI requires infusing features of the human brain into AI systems such as incremental learning all the time. Consequently, we propose computational models that exhibit incremental learning without stopping (sentience). These features are inherent in reflexive Turing machines, inductive Turing machines, and limit Turing machines.https://www.mdpi.com/2504-3900/47/1/25sentienceartificial intelligenceknowledge structureoraclestructural machines |
| spellingShingle | Mark Burgin Eugene Eberbach Rao Mikkilineni Processing Information in the Clouds Proceedings sentience artificial intelligence knowledge structure oracle structural machines |
| title | Processing Information in the Clouds |
| title_full | Processing Information in the Clouds |
| title_fullStr | Processing Information in the Clouds |
| title_full_unstemmed | Processing Information in the Clouds |
| title_short | Processing Information in the Clouds |
| title_sort | processing information in the clouds |
| topic | sentience artificial intelligence knowledge structure oracle structural machines |
| url | https://www.mdpi.com/2504-3900/47/1/25 |
| work_keys_str_mv | AT markburgin processinginformationintheclouds AT eugeneeberbach processinginformationintheclouds AT raomikkilineni processinginformationintheclouds |