EFRI BEGIN OI: Integrating Human-Derived Neural Networks and AI for Information Processing — NSF Award to University of Texas at S
Artificial Intelligence (AI) is poised to dramatically alter our world; however, one of the biggest challenges to progress in AI is the high energy consumption of the hardware and the lack of flexibility for adapting to new environments or problems. By contrast, the human nervous system has evolved to become flexible,
| Award title | EFRI BEGIN OI: Integrating Human-Derived Neural Networks and AI for Information Processing |
|---|---|
| Award ID | 2515404 |
| Awardee | University of Texas at San Antonio |
| City | SAN ANTONIO |
| State | TX |
| Amount obligated | $1,998,582 |
| Principal investigator | Jenny Hsieh |
| Program | EFRI Research Projects |
| Start date | 10/01/2025 |
| Abstract | Artificial Intelligence (AI) is poised to dramatically alter our world; however, one of the biggest challenges to progress in AI is the high energy consumption of the hardware and the lack of flexibility for adapting to new environments or problems. By contrast, the human nervous system has evolved to become flexible, nimble, and energy-efficient. This award will support the development of biotechnology to grow cellular brain organoids capable of replicating the network and activity observed in |
| Source | NSF Awards |
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