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 ...

As semiconductor technology pushes the boundaries of scale and complexity, traditional VLSI physical design methodologies are struggling to keep pace. The rise of Artificial Intelligence (AI), ...

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 ...

A new technical paper titled “QCEDA: Using Quantum Computers for EDA” was published by researchers at Fraunhofer IESE, RPTU Kaiserslautern, DLR (Germany), and OTH Regensburg. “The field of Electronic ...

Through the looking glass: In a field increasingly defined by quantum experiments and exotic materials, a physics team at Queen's University in Canada has shown that innovation can also come from the ...