Routing algorithms and optimisation techniques are fundamental to the evolution of Very Large-Scale Integration (VLSI) design. As chip complexity increases, the need to efficiently connect ...

Optimization algorithms and metaheuristics constitute a vital area of computational science, offering robust strategies for tackling complex, multidimensional problems across diverse domains.

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Tensor decomposition is critical for compressing data and extracting key features in novel high-dimensional signal processing systems. However, due to the enormous amount of data and the highly ...

In the VLSI physical design, floorplanning is an essential design step, as it determines the size, shape, and locations of modules in a chip and as such it estimates the total chip area, the ...

Taking the loop structure as an example, we explain the design of case studies to engage students. The average scores improved from 72.9 to 77.2 between semesters without and with the heuristic ...

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

There are more than 100,000 people on organ transplant lists in the U.S., some of whom will wait years to receive one—and some may not survive the wait. Even with a good match, there is a chance ...

Reflections from a recent panel discussion at DAC, The Chips to Systems Conference held at Moscone West on the CHIPS Act's impact on the design ecosystem ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

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