From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

A large share of medicines developed today may never reach patients for a surprisingly simple reason: they cannot dissolve well enough in water. For most treatments, the oral route remains the gold ...

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Abstract: Vulnerability detection in source code has been a focal point of research in recent years. Traditional rule-based methods fail to identify complex and unknown vulnerabilities, leading to ...