We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance through a holistic ...

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

Despite advancements in robotic systems and surgical data science, ensuring safe execution in robot-assisted minimally invasive surgery (RMIS) remains challengi ...