Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

Traditional manufacturing processes like equipment maintenance, QA/QC processes, production scheduling and supply chain ...

A new research by Google DeepMind shows how sparse autoencoders (SAEs) with special JumpReLU activation can help interpret LLMs.

A machine learning (ML) model by combing two autoencoders and one linear regression model is proposed to avoid overfitting and to improve the accuracy of Technology Computer-Aided Design ...

Matlab-AE_MVTS Generic Deep Autoencoder for Time-Series This toolbox enables the simple implementation of different deep autoencoder. The primary focus is on multi-channel time-series analysis. Each ...

The paper Masked Autoencoders Are Scalable Vision Learners, published this week by Kai-Ming He, Xinlei Chen and their Facebook AI Research (FAIR) team, has become a hot topic in the computer vision ...