Memory technology enabling future computing systems
Although the astounding progress through Moore’s law has made possible the demonstrations of truly remarkable tasks of artificial intelligence (AI), the AI revolution is challenging the semiconductor technology itself. In fact, the achieved results are at the expense of an energy consumption orders...
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| Format: | Article |
| Language: | English |
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AIP Publishing LLC
2025-06-01
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| Series: | APL Machine Learning |
| Online Access: | http://dx.doi.org/10.1063/5.0253063 |
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| author | Paolo Fantini |
| author_facet | Paolo Fantini |
| author_sort | Paolo Fantini |
| collection | DOAJ |
| description | Although the astounding progress through Moore’s law has made possible the demonstrations of truly remarkable tasks of artificial intelligence (AI), the AI revolution is challenging the semiconductor technology itself. In fact, the achieved results are at the expense of an energy consumption orders of magnitude higher than the one of the human brain. Definitively, biology figures out a better way to process data. So, radically new approaches, in some way emulating the human mind, are essential for creating a more efficient next generation information technology. This work draws the directions that address the building of more efficient future computing systems, namely, (a) the memory and storage technology roadmap; (b) innovative interconnect systems between memory and logic devices; and (c) overcoming of the von Neumann computing paradigm. |
| format | Article |
| id | doaj-art-501ce32267544ea7bf14a79ff6f0255e |
| institution | DOAJ |
| issn | 2770-9019 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | AIP Publishing LLC |
| record_format | Article |
| series | APL Machine Learning |
| spelling | doaj-art-501ce32267544ea7bf14a79ff6f0255e2025-08-20T03:14:57ZengAIP Publishing LLCAPL Machine Learning2770-90192025-06-0132020901020901-1010.1063/5.0253063Memory technology enabling future computing systemsPaolo Fantini0Micron Technology Inc., Via Trento, 26, 20871 Vimercate (MB), ItalyAlthough the astounding progress through Moore’s law has made possible the demonstrations of truly remarkable tasks of artificial intelligence (AI), the AI revolution is challenging the semiconductor technology itself. In fact, the achieved results are at the expense of an energy consumption orders of magnitude higher than the one of the human brain. Definitively, biology figures out a better way to process data. So, radically new approaches, in some way emulating the human mind, are essential for creating a more efficient next generation information technology. This work draws the directions that address the building of more efficient future computing systems, namely, (a) the memory and storage technology roadmap; (b) innovative interconnect systems between memory and logic devices; and (c) overcoming of the von Neumann computing paradigm.http://dx.doi.org/10.1063/5.0253063 |
| spellingShingle | Paolo Fantini Memory technology enabling future computing systems APL Machine Learning |
| title | Memory technology enabling future computing systems |
| title_full | Memory technology enabling future computing systems |
| title_fullStr | Memory technology enabling future computing systems |
| title_full_unstemmed | Memory technology enabling future computing systems |
| title_short | Memory technology enabling future computing systems |
| title_sort | memory technology enabling future computing systems |
| url | http://dx.doi.org/10.1063/5.0253063 |
| work_keys_str_mv | AT paolofantini memorytechnologyenablingfuturecomputingsystems |