This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...
Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...
Abstract: Simplex-structured matrix factorization (SSMF) is a common task encountered in signal processing and machine learning. Minimum-volume constrained unmixing (MVCU) algorithms are among the ...
Abstract: This article addresses the unambiguous range-angle estimation problem in FDA-MIMO radar systems by formulating received signals as tensor-structured data and developing a tailored ...
In this piece, I highlight one particular talk that caught my interest — given by Elana Fertig, Dean E. Albert Reece Endowed ...
Hallucination in LLMs is not an engineering deficiency amenable to incremental improvement. It is a structural consequence of the matrix computation paradigm — the mathematical inevitability that a ...
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