Theoretical Foundations For Demystifying Continual Learning — NSF Award to OHIO STATE UNIVERSITY, THE (OH, $517,498)
Continual learning (CL), also known as lifelong learning, seeks to enable artificial intelligence (AI) systems to learn new skills over time without forgetting what they already know—much like how humans continuously refine and integrate knowledge. However, a major challenge that needs to be overcome is “catastrophic f
| Award title | Theoretical Foundations For Demystifying Continual Learning |
|---|---|
| Award ID | 2515482 |
| Awardee | OHIO STATE UNIVERSITY, THE |
| City | COLUMBUS |
| State | OH |
| Amount obligated | $517,498 |
| Principal investigator | Yingbin Liang |
| Program | EPCN-Energy-Power-Ctrl-Netwrks |
| Start date | 10/01/2025 |
| Abstract | Continual learning (CL), also known as lifelong learning, seeks to enable artificial intelligence (AI) systems to learn new skills over time without forgetting what they already know—much like how humans continuously refine and integrate knowledge. However, a major challenge that needs to be overcome is “catastrophic forgetting,” where an AI system loses competence in old tasks when learning new ones. This project will advance fundamental understanding of continual learning by developing theoret |
| Source | NSF Awards |
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