CAREER: Trustworthy, Robust, and Efficient Multimodal Framework for Video Analytics. — NSF Award to University of Arkansas (AR, $4
Artificial intelligence (AI) technologies are revolutionizing fields such as healthcare, robotics, agriculture, public safety, and many more. However, the increasing reliance on AI also brings concerns about trust, reliability, and real-world conditions that pose significant risks to the long-term value of AI. This pro
| Award title | CAREER: Trustworthy, Robust, and Efficient Multimodal Framework for Video Analytics. |
|---|---|
| Award ID | 2443877 |
| Awardee | University of Arkansas |
| City | FAYETTEVILLE |
| State | AR |
| Amount obligated | $499,556 |
| Principal investigator | Ngan Le |
| Program | Info Integration & Informatics |
| Start date | 09/01/2025 |
| Abstract | Artificial intelligence (AI) technologies are revolutionizing fields such as healthcare, robotics, agriculture, public safety, and many more. However, the increasing reliance on AI also brings concerns about trust, reliability, and real-world conditions that pose significant risks to the long-term value of AI. This project tackles these challenges by developing a human-inspired AI framework that processes data in ways similar to human perception - drawing information from multiple sensory inputs |
| Source | NSF Awards |
$799/mo
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