This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...

Switch from manual entries to automated generators that keep your spreadsheets clean, consistent, and error-free.

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert ...

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

The dynamic analysis of multibody systems has been significantly advanced through the application of the Transfer Matrix Method (TMM), a robust tool that facilitates the study of complex mechanical ...

Camilla Gilmore receives funding from the Economic and Social Research Council. Lucy Cragg receives funding from the Economic and Social Research Council. Natasha Guy does not work for, consult, own ...

Generative A.I. chatbots are going down conspiratorial rabbit holes and endorsing wild, mystical belief systems. For some people, conversations with the technology can deeply distort reality. By ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Abstract: Sparse matrix-matrix multiplication is a critical kernel for several scientific computing applications, especially the setup phase of algebraic multigrid. The MPI+X programming model, which ...