Random Matrix Theory (RMT) has emerged as a potent framework to characterise the statistical properties of eigenvalues in large complex systems, bridging disciplines from quantum physics to number ...

The original Matrix trilogy was a well of theory potential. Yet, I haven't covered it in YEARS! So when the new trailer for The Matrix 4: Resurrections came out, I felt the need to try and cover ...

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Alongside the seat matrix, KEA has also issued a special eligibility list, prepared based on the medical examination conducted offline from June 3 to 6, 2025. To access the KCET 2025 seat matrix, ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Generalized index modulation (GIM) which implicitly conveys information by the activated indices is a promising technique for next-generation wireless networks. Due to the prohibitive challenge of bit ...

See an example of the kind of research the school is working on in this film I have weekly meetings with my supervisor, not just discussing the research but also how I'm feeling mentally and what I am ...

A position-dependent mass matrix in molecular dynamics (MD) was introduced by Bennet (1) and further examined by Tsuchida. (2) The resulting method is called mass tensor molecular dynamics (MTMD), ...

machine-learning deep-learning statistical-mechanics computational-physics graph-theory computational-geometry algebraic-topology complex-networks persistent-homology computational-topology ...