failing to fully capture the true underlying structure of the data. As a result, classification performance is frequently suboptimal. To address this limitation, we propose leveraging an autoencoder ...

Abstract: The variational autoencoder (VAE) has proven highly effective in monitoring nonlinear stochastic processes, primarily under the assumption of complete and temporally independent data ...

Google quietly announced it is deprecating a COVID-era beta status structured data type, marking the end of an experimental feature ...

Brooklyn-based Structify emerges from stealth with $4.1 million in seed funding to transform how businesses prepare data for AI, promising to save data scientists from the task that consumes 80% of ...

Google has expanded where the Structured data carousels (beta) search feature works and for what types of queries. When it first launched, about a year ago, it was available for flights queries in ...

The generative AI early adopter has worked to improve data management as it aims for better model accuracy and performance to ...

A collaborative research effort between UNIST and the Korea Institute of Science and Technology (KIST) has led to the ...

A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

But there is growing evidence that different kinds of stimuli, including physical movement, can help us to refine how our ...