We present sparse identification of nonlinear dynamics with shallow recurrent decoders (SINDy-SHRED), which jointly solves the sensing, model reduction and model identification problem with simple ...

SLAF is a high-performance format for single-cell data that combines the power of SQL with lazy evaluation. Built for large-scale single-cell analysis with memory efficiency and production-ready ML ...

For quantum computers to outperform their classical counterparts, they need more quantum bits, or qubits. State-of-the-art quantum computers have around 1,000 qubits. Columbia physicists Sebastian ...

Ever wonder why ChatGPT slows down during long conversations? The culprit is a fundamental mathematical challenge: Processing long sequences of text requires massive computational resources, even with ...

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 ...

Quantifying stratigraphic uncertainty is crucial for reliable risk assessment and informed decision-making in geotechnical and geological engineering. However, accurately modeling complex stratigraphy ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...

Abstract: Sparse arrays designed based on fourth-order difference co-array (DCA) can achieve significantly higher uniform degrees-of-freedom (uDOFs). However, most existing fourth-order sparse arrays ...

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Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...