On-device AI / edge AI
Dated sources are over 18 months old; other dates are unknown.
Publication dates and source age
Sources counted: 2
Newest dated source: 2022-02-23
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Some publication dates are unknown; the newest dated source may not be the newest source overall.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Open in the glossary Reading notes · Structured record
In plain language
Running a model on a device such as a phone or laptop. Where a calculation runs does not by itself establish the privacy of the whole app. [1] [2]
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Limits & distinctions
On-device inference is different from training on the device. To assess privacy, check the whole application’s data flows, including any other services it uses. [1] [2]
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A fuller explanation
On-device AI runs model calculations locally. A model can be obtained or trained elsewhere, adapted for the target device and then run there. Edge AI is also used for processing near the source of data. [1]
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How it relates to the map
Map context: this describes where computation happens. We do not treat local processing as a movement or a position on frontier pacing. [1]
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https://theaiatlas.org/ideas/on-device-ai/
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Sources and what we read
1. LiteRT: High-Performance On-Device Machine Learning Framework
Publication dates and source age
Sources counted: 1
Publication dates are unavailable.
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Some publication dates are unknown; the newest dated source may not be the newest source overall.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Read the platform overview and deployment workflow for running models on devices. The entry describes the location of computation, without adopting blanket vendor claims about privacy, speed or capability.
2. System Cards, a new resource for understanding how AI systems work
Source is over 18 months old.
Publication dates and source age
Sources counted: 1
Newest dated source: 2022-02-23
Assessed at this edition's evidence cutoff: 2026-09-15. 18-month boundary: 2025-03-15.
Publication age does not tell us whether a claim is still valid. Reading an old source again does not make its publication date newer. An update date does not establish that the passage we used was updated.
Read the system-card proposal, its distinction from model cards and its limitations section. Meta describes its own approach; publication of a card is not an independent audit of the system.
Edition and machine-readable evidence
Content version 0.20.0. Evidence cutoff 2026-09-15; this does not mean every source was read on that day.
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