What can you do about data sparsity? What do you do when you have a matrix with a bunch of zeros in it, and you can't get a good look at a complex system because so many of the nodes are empty? Matrix ...

A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. A ...

An innovative approach to artificial intelligence (AI) enables reconstructing a broad field of data, such as overall ocean temperature, from a small number of field-deployable sensors using ...

Chinese AI company DeepSeek has released an experimental large language model with a new “DeepSeek Sparse Attention” mechanism and has said it has reduced its API pricing by “50%+,” in a move aimed at ...

(Bloomberg) -- DeepSeek updated an experimental AI model in what it called a step toward next-generation artificial intelligence. The secretive Chinese startup outlined the DeepSeek-V3.2-Exp platform, ...

Gemma Scope 2,is a comprehensive open-source suite trained on 110 petabytes of data to map internal reasoning circuits across ...

R-MXAS is a revolutionary aerospace architecture for realizing a synthetic aperture imaging radiometer (SAIR) in a manner affording unprecedented sparsity in terms of number of antenna elements. As ...

DeepSeek updated an experimental AI model Monday in what it called a step toward next-generation artificial intelligence. The secretive Chinese startup outlined the DeepSeek-V3.1-Exp platform, ...