ENG-SEMICON: Hyperscale Analog Edge Computing by 3D NAND flash memory with Brain-inspired — NSF Award to University of Oklahoma No
Artificial Intelligence (AI) holds immense potential to transform modern life, but its growing energy demands pose a significant challenge to environmental sustainability and credibility. The sudden regression in the stock prices of AI and AI-chip companies such as Google, Meta, Microsoft, Nvidia, and Apple in August-2
| Award title | ENG-SEMICON: Hyperscale Analog Edge Computing by 3D NAND flash memory with Brain-inspired |
|---|---|
| Award ID | 2432082 |
| Awardee | University of Oklahoma Norman Campus |
| City | NORMAN |
| State | OK |
| Amount obligated | $494,999 |
| Principal investigator | Yaser Banad |
| Program | EPSCoR Co-Funding, CSCS: Circuits and Systems for |
| Start date | 05/01/2025 |
| Abstract | Artificial Intelligence (AI) holds immense potential to transform modern life, but its growing energy demands pose a significant challenge to environmental sustainability and credibility. The sudden regression in the stock prices of AI and AI-chip companies such as Google, Meta, Microsoft, Nvidia, and Apple in August-2024 after years of never-ending inclination since the boom of ChatGPT and generative AI reflects the missing revenue yet to be realized by AI. This project proposes to emulate the |
| Source | NSF Awards |
$799/mo
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