Abstract: In this paper, we consider a formulation of nonlinear constrained optimization problems. We reformulate it as a time-varying optimization using continuous-time parametric functions and ...

Stanford's Center for AI Safety had its annual workshop. Latest research and industry work on AI safety is promising. I share ...

Abstract: The problem of finding a minimal circuit to implement a given function is one of the oldest in electronics. It is known to be NP-hard. Still, many tools exist to find sub-optimal circuits to ...

This file uses an artificial neural network (ANN) to predict the validity of differentials in GFS block ciphers using a deep learning model trained on features such as truncated differences, number of ...

cSurgical Intervention Trials Unit, University of Oxford, Oxford, UK dOxford Clinical Trials Research Unit, University of Oxford, Oxford, UK ...