MicroAlgo's classifier auto-optimization technology, based on variational quantum algorithms, significantly reduces the computational complexity of parameter updates through deep optimization of ...

A new technical paper titled “Generative AI for Analog Integrated Circuit Design: Methodologies and Applications” was published by researchers at McMaster University. Abstract “Electronic Design ...

Exploring Variational Auto-encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI ...

Variational Autoencoders (VAEs) are an artificial neural network architecture to generate new data. They are similar to regular autoencoders, which consist of an encoder and decoder.

To ensure the machining quality of micro/nano scale structural units for meter scale workpieces, relay turning with multiple single-point diamond tools has been broadly required. However, the existing ...

The team proposes an explicit and interpretable discrete variational auto-encoder model for generating efficiency-improving code transformations. They demonstrate that this model can be trained from a ...