Scaling Laws in AI: Identifying Nonlinear Systems
Published:Dec 23, 2025 15:39
•1 min read
•ArXiv
Analysis
This research explores the application of neural scaling laws to the domain of nonlinear system identification, a crucial area for advancements in control theory and robotics. The study's implications potentially extend beyond theoretical understanding to practical applications in various engineering disciplines.
Key Takeaways
Reference
“Neural scaling laws are applied to learning-based identification.”