A Q&A with Alex Albert, developer relations lead at Anthropic, about how the company uses its own tools, Claude.ai and Claude ...

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The data-labeling firm founded by Edwin Chen is reportedly pulling in more revenue than Scale AI despite being bootstrapped.

A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce ...

A new, densely annotated 3D-text dataset called 3D-GRAND can help train embodied AI, like household robots, to connect ...

Here's how you can use Napkin AI to create charts and graphs from your data. Sign up to get the BEST of Tom's Guide direct to your inbox. Get instant access to breaking news, the hottest reviews ...

AEGAE integrates Laplacian regularization and a graph autoencoder to generate robust node embeddings for identifying communities in complex networks. The community detection is a crucial task in ...

An autoencoder is a specific type of neural network ... Common use-cases include data visualization in a 2D graph (if the data is reduced to just two columns instead of the six columns in the demo), ...

To address the above issues, this paper proposes an innovative masked dual graph autoencoder (MDGAE) method for attributed graph community detection. The method consists of a graph attention ...

In this paper, we present Disentangled Prototypical Graph Convolutional Autoencoder, which is optimized for detecting anomalies in cryptocurrency transactions. Our model redefines the approach to ...