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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| Summary: | 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. |
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| ISSN: | 2770-9019 |