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 ...

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 ...

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, ...

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 ...

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...

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 ...

An optimization problem is one where you have to make the best decision (choose the best investments, minimize your company’s costs, find the class schedule with the fewest morning classes, or so on).