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/m0str-5ek10
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
NIHR Imperial Biomedical Research Centre (GB), Imperial College London (GB)
UK Research and Innovation, Imperial College London
Openalex Percentile: Top 72%
CCD and CMOS Imaging Sensors
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