CRCNS Research Proposal: Measuring and modeling the biological intelligence advantage — NSF Award to Northwestern University at Ch
As promising as recent artificial intelligence (AI) advances have been, there are still many areas where it falls short. In those areas where it does well, training is slow and requires an unsustainable amount of energy. This has been measured using video games. Humans are able to play these games well after only a few
| Award title | CRCNS Research Proposal: Measuring and modeling the biological intelligence advantage |
|---|---|
| Award ID | 2509217 |
| Awardee | Northwestern University at Chicago |
| City | EVANSTON |
| State | IL |
| Amount obligated | $1,000,000 |
| Principal investigator | Malcolm MacIver |
| Program | CRCNS-Computation Neuroscience, Modulation |
| Start date | 09/01/2025 |
| Abstract | As promising as recent artificial intelligence (AI) advances have been, there are still many areas where it falls short. In those areas where it does well, training is slow and requires an unsustainable amount of energy. This has been measured using video games. Humans are able to play these games well after only a few tries, while AI systems require hundreds of thousands to millions of exposures to achieve the same performance. Here, a team of Northwestern University researchers investigate how |
| Source | NSF Awards |
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