Moreover, the application of quantum algorithms will pave new paths for the sustainable development of large-scale machine learning models.

Rather than choosing between the two, a layered “defense-in-depth” strategy is rapidly becoming the gold standard. Combining ...

Researchers review AI-powered inverse lithography, showing how deep learning boosts chip patterning precision and efficiency while facing scaling challenges.

However, these efforts employ gradient-free approaches, such as simulated annealing, which suffer from poor scaling and slow convergence. In this paper, we propose DiffChip, a chiplet placement ...

RushOwl's proprietary AI technology cuts emissions by 50% and commute times by 30%The startup's RushOS algorithm integrates ...