Explores low-power design optimization in MOSFET transistors, focusing on inversion coefficients and transconductance efficiency for maximum performance.
Delves into Reinforcement Learning with Human Feedback, discussing convergence of estimators and introducing a pessimistic approach for improved performance.
Explores multilinear regression for design optimization and orthogonality, covering teamwork, abstracts, linear and quadratic models, ANOVA, and alias structures.
