At the Financial Analyst Day, AMD's leadership presented many plans for the coming years. Much remained unspecific, but there ...

The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

[matrix_a[i][j] + matrix_b[i][j] for j in range(len(matrix_a[0]))] for i in range(len(matrix_a)) [matrix_a[i][j] - matrix_b[i][j] for j in range(len(matrix_a[0 ...

Verilog code and MATLAB scripts for the hardware implementation of the Real-valued 4×4 Rank-48 AlphaEvolve matrix multiplication algorithm described in [1]. 01_SLP — Straight Line Program ...

Abstract: This paper investigates sparse matrix-vector (SpMV) multiplication algorithm performance for unstructured sparse matrices. The development of an SpMV multiplication algorithm for this type ...

Researchers from Tsinghua University have developed a groundbreaking optical system for computing that performs feature extraction with unprecedented low latency, which has the potential to ...

The new method accelerates encrypted matrix multiplication, advancing practical fully homomorphic encryption (FHE) for AI ...

The belief that we are living in a Matrix-like simulation has has grown traction in recent years, but boffins believe they ...

Abstract: DC-link capacitors in rail transit are susceptible to failure under hard working conditions, and it is important to estimate the capacitance for safe operation purpose. However, current ...