Messenger RNA (mRNA) therapeutics have moved from a promising idea to clinical reality, accelerating vaccine development and opening new paths ...

In the lower part of the figure, it can be seen that L2O leverages on a set of training problem instances from the target optimization problem class to gain knowledge. This knowledge can help identify ...

Dr. Maute’s research group is developing novel approaches to topology and shape optimization for nonlinear structural and coupled multi-physics problems, such as fluid-structure interaction and ...

Why has analog design been a manual process? How artificial intelligence is improving the EDA process. The use of artificial intelligence (AI) has gained significant traction in many domains of EDA, ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Yield and cost have always been critical factors for both manufacturers and designers of semiconductor products. Meeting yield and product cost targets is a continuous challenge, due to new device ...