Pusan National University researchers use AI to create optimized engine components that ‘outperform human designs’

In the new breakthrough, the machine learning technology helps create “32 percent more efficient hydraulic pumps”, say the researchers The gerotor tooth profile is crucial for determining hydraulic system performance in automotive engineering. In a new development, researchers from Pusan National University, South Korea have leveraged conditional generative adversarial networks for machine learning-driven gerotor pr…