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 ...

Nvidia CEO Jensen Huang during a panel at CES in January expressed his view as to when quantum computing might become a practical reality: “If you said 15 years for very useful quantum computers, that ...

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 ...

Russell has a PhD in the history of medicine, violence, and colonialism. His research has explored topics including ethics, science governance, and medical involvement in violent contexts. Russell has ...