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 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.

Authors

Institutions

Publication Details

Journal
APL Machine Learning
Published
2025-04-14
DOI
https://doi.org/10.1063/5.0253063
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Memory technology enabling future computing systems

Paolo Fantini
3 citations
APL Machine Learning
Advanced Memory and Neural Computing
2.19
article

Memory technology enabling future computing systems

Paolo Fantini
article en
3 citations

Abstract

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.

APL Machine LearningVol. 3(2)
Micron (United States) (US)
Openalex Percentile: Top 13%
Advanced Memory and Neural Computing
2.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.