New preprint on benchmarking ultra-low power neural accelerators

Josh Millar just released our latest preprint on how to make sense of the growing number of dedicated, ultra-low-power 'neural network accelerators' that are found in many modern embedded chipsets. My interest in this derives from wanting to decouple from the cloud when it comes to low-latency local environments, and this needs fast tensor operations in hardware.

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Publication Details

Journal
Front Matter
Published
2025-03-28
DOI
https://doi.org/10.59350/xfqt0-x9371
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.00

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article

New preprint on benchmarking ultra-low power neural accelerators

Anil Madhavapeddy
Front Matter
CCD and CMOS Imaging Sensors
article

New preprint on benchmarking ultra-low power neural accelerators

Anil Madhavapeddy
article en

Abstract

Josh Millar just released our latest preprint on how to make sense of the growing number of dedicated, ultra-low-power 'neural network accelerators' that are found in many modern embedded chipsets. My interest in this derives from wanting to decouple from the cloud when it comes to low-latency local environments, and this needs fast tensor operations in hardware.

Front Matter
UK Research and Innovation, Imperial College London
Openalex Percentile: Top 72%
CCD and CMOS Imaging Sensors
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New preprint on benchmarking ultra-low power neural accelerators — Anil Madhavapeddy · Front Matter (2025) | TGRS Research Map | TGRS