Explore the unexpected origins of the Laplace Transform and how this powerful mathematical tool evolved from practical problems into a cornerstone of modern engineering and science. This video traces ...

Abstract: Recent diffusion models provide a promising zero-shot solution to noisy linear inverse problems without retraining for specific inverse problems. In this paper, we reveal that recent methods ...

Customers can accelerate the reduction of their legacy tech debt and shift valuable resources toward innovation. We are introducing new agentic capabilities in AWS Transform to accelerate organization ...

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Abstract: Continuous space-time systems, such as transmission lines (TL) with distributed parameters, are normally described by linear 2D partial differential equations, and hence in these cases it is ...

Abstract: This work describes deep-learning-enabled inverse design of multi-port electromagnetic (EM) structures co-designed with circuits that can enable the synthesis of novel high-frequency on-chip ...