We developed a physics-informed neural network based on a mixture of Cartesian grid sampling and Latin hypercube sampling to solve forward and backward modified diffusion equations. We optimized the ...

Optimal control problems are pervasive across numerous disciplines, including engineering, economics, biology, and medicine, where they play a crucial role in optimizing the performance of dynamic ...

Flush with new funding, Selector AI is looking to expand its AI platform, which helps companies reduce network alert noise and optimize infrastructure through data-driven decision making. Back in 2019 ...