Collaborative Research: SBE-UKRI: Spatial communication and computational efficiency — NSF Award to University of Texas at Austin
A challenge of developing artificial intelligence (AI) that can work with and serve human needs is developing systems that can smoothly communicate with humans. An aspect of human communication that is effortless for humans, but that remains challenging for AI systems, is communication about space – that is, where peop
| Award title | Collaborative Research: SBE-UKRI: Spatial communication and computational efficiency |
|---|---|
| Award ID | 2525736 |
| Awardee | University of Texas at Austin |
| City | AUSTIN |
| State | TX |
| Amount obligated | $197,887 |
| Principal investigator | Kyle Mahowald |
| Program | GVF - Global Venture Fund, Linguistics |
| Start date | 08/15/2025 |
| Abstract | A challenge of developing artificial intelligence (AI) that can work with and serve human needs is developing systems that can smoothly communicate with humans. An aspect of human communication that is effortless for humans, but that remains challenging for AI systems, is communication about space – that is, where people and things are and where they are going. Simple words like “this” and “there” help speakers point to objects, give directions, and share information. These words are important i |
| Source | NSF Awards |
$799/mo
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