File:CRW-ab2047-sbir-abstract-engine.png
No higher resolution available.
CRW-ab2047-sbir-abstract-engine.png (1,398 × 264 pixels, file size: 28 KB, MIME type: image/png)
Summary
[edit | edit source]
In its 2023 Air Force award abstract, Physna describes its platform as the world's first true 3D geometric search engine and deep learning platform.
source: https://www.sbir.gov/awards/205940
Retrieved June 23, 2026
Licensing
[edit | edit source]
 | This file was uploaded without a valid license, permission, or fair use rationale. As such, it may not be used legally and is subject to deletion under site policy. Please provide a proper license or permission for this file, or it will be removed. |
File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 07:12, 23 June 2026 | | 1,398 × 264 (28 KB) | Louis (talk | contribs) | primary source screenshot, ab 2047 printer mandate |
You cannot overwrite this file.
File usage
The following page uses this file:
