Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

As integrated circuit (IC) designs continue to scale, the demand for efficient power management, performance optimization and reliable physical layout modification grows more critical. Meeting these ...

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 ...

Optimization problems as a research area encompass the theoretical and algorithmic study of selecting the best solution from a feasible set according to one or more objective functions, under possibly ...