Collaborative Research: Memtransistor with Enhanced Functionality Enables Energy-efficient — NSF Award to Purdue University (IN, $
Modern artificial intelligence (AI) is inspired by the brain’s cognitive functions but relies on models that differ greatly from biological systems and consume substantial energy during training and inference. According to the Semiconductor Research Corporation, continued scaling of logic devices and increasing model c
| Award title | Collaborative Research: Memtransistor with Enhanced Functionality Enables Energy-efficient |
|---|---|
| Award ID | 2521468 |
| Awardee | Purdue University |
| City | WEST LAFAYETTE |
| State | IN |
| Amount obligated | $374,060 |
| Principal investigator | Raisul Islam |
| Program | EPMD-ElectrnPhoton&MagnDevices |
| Start date | 10/01/2025 |
| Abstract | Modern artificial intelligence (AI) is inspired by the brain’s cognitive functions but relies on models that differ greatly from biological systems and consume substantial energy during training and inference. According to the Semiconductor Research Corporation, continued scaling of logic devices and increasing model complexity could push machine learning energy consumption beyond global energy production capacity—an unsustainable trajectory. In contrast, the human brain performs complex computa |
| Source | NSF Awards |
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