CAREER: Holistic Cross-layer Solution Towards Instant, Adaptive, and Evolving Intelligence — NSF Award to University of Texas at S
Battery-less sensors that harvest energy from ambient sources are revolutionizing the possibilities for IoT applications, particularly in remote or challenging environments where sustainable, maintenance-free operation is crucial. When combined with tiny machine learning technologies, these devices are further enabled
| Award title | CAREER: Holistic Cross-layer Solution Towards Instant, Adaptive, and Evolving Intelligence |
|---|---|
| Award ID | 2443885 |
| Awardee | University of Texas at San Antonio |
| City | SAN ANTONIO |
| State | TX |
| Amount obligated | $219,227 |
| Principal investigator | Mimi Xie |
| Program | CSR-Computer Systems Research |
| Start date | 06/01/2025 |
| Abstract | Battery-less sensors that harvest energy from ambient sources are revolutionizing the possibilities for IoT applications, particularly in remote or challenging environments where sustainable, maintenance-free operation is crucial. When combined with tiny machine learning technologies, these devices are further enabled with in-situ data processing and real-time decision-making capabilities. However, integrating tiny machine learning algorithms into battery-less IoT devices presents significant ch |
| Source | NSF Awards |
$799/mo
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