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RISC-V and machine learning: a survey

Paper recorded by Signals 4 on 2026-09-17 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-17 on arXiv · recorded by Signals 4 on 2026-09-18

Category: cs.LG · 机器学习 · first seen 2026-09-18

Abstract

The intersection of open-source processor architectures and machine learning is driving the demand for customizable, efficient, and accessible hardware. This survey examines the state of the RISC-V ISA in machine learning applications, analyzing current capabilities, challenges, and future directions based on recent research. The analysis covers academic and commercial implementations, software fr

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#14 most recent of 215 cs.LG papers we have recorded · ↑ newer: The First-Order Oracle Complexity of Lipschitz Convex Optimization in · ↓ older: Exponential Hardness of Off-Policy Evaluation under History-Dependent
Cite this page: RISC-V and machine learning: a survey: the #14 most recent of 215 cs.LG papers we have recorded (as of 2026-09-17). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/risc-v-and-machine-learning-a-survey.html
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