Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

At the heart of advancing semiconductor chip technology lies a critical challenge: creating smaller, more efficient electronic components. This challenge is particularly evident in the field of ...

Rajalakshmi Srinivasaraghavan highlights hybrid AI compiler and runtime optimizations balancing CPUs, GPUs, and accelerators.