Looking forward, the team aims to scale these models for larger, more complex datasets and explore further optimizations in quantum state encoding and quantum machine learning architecture design.

An AI machine learning architecture employed in "neural networks ... known as "parameters," are preset at the design stage. To train an AI model, countless examples of text or images are input ...

It also supports inverse design, enabling users to ... The paper introduces a novel architecture tailored for data-scarce, nonlinear mechanical systems; a domain where conventional machine learning ...

and user interface (UI) design considerations and methods for embedded devices and systems Machine-to-machine (M2M) and internet of things (IoT) protocols and architectures, including leveraging cloud ...