The TabPFN tool, when combined with Geospatial Sparse Attention, works better on tabular geospatial data found in spreadsheets or databases.

Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...

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 ...

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...

A new technical paper titled “Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention” was published by DeepSeek, Peking University and University of Washington.

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 ...

In a paper in the Journal of Diabetes Science and Technology, researchers at Stevens Institute of Technology offer a new approach: a data-sparse model capable of accurately predicting individual ...

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, explaining it ...

Chinese e-commerce giant Alibaba's Qwen team of AI researchers has emerged in the last year as one of the global leaders of open source AI development, releasing a host of powerful large language ...

One of the biggest miscalculations made around Covid-19 last year is we assumed that because it was a novel virus, we were starting from a place of zero data. This caused a number of problems. As ...