Qwen3-Coder-Next offers vibe coders a powerful open source, ultra-sparse model with 10x higher throughput for repo tasks

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...
GitHub

Implement Gaussian Filtering Using Sparse Matrix Instead of Built-in Functions

Currently, I need to perform Gaussian filtering on images, but I want to avoid using MATLAB's built-in functions. Given an image of size N x N, my idea is to construct a sparse matrix where both ...
IEEE

Sparse Array Wideband Beamforming Based on Covariance Matrix Reconstruction and Neural Network

Abstract: Sparse arrays offer economic advantages by reducing the number of antennas. However, directly utilizing the covariance matrix of sparse array signals for wideband beamforming may lead to the ...
Scientific Research Publishing

Gibbs, N.E., Poole, Jr., W.G. and Stockmeyer, P.K. (1976) An Algorithm for Reducing the Bandwidth and Profile of a Sparse Matrix. SIAM Journal on Numerical Analysis, 13, 236-250.

ABSTRACT: Node renumbering is an important step in the solution of sparse systems of equations. It aims to reduce the bandwidth and profile of the matrix. This allows for the speeding up of the ...
GitHub

[Python] Compatibility with SciPy 1.15's stricter sparse code

The test suite in conda-forge/arrow-cpp-feedstock#1664 has a single test failure ===== FAILURES ===== _____ test_sparse_coo_tensor_scipy_roundtrip[f2-arrow_type8 ...
Semiconductor Engineering

Distributed Radar Signal Processing Utilizing A Sparse Array To Obfuscate The Data

A new technical paper titled “Signal processing architecture for a trustworthy 77GHz MIMO Radar” was published by researchers at Fraunhofer FHR, Ruhr University Bochum, and Wavesense Dresden GmbH.
IEEE

Simulation of Dynamic Scheduling of Redundant Nodes in Sparse Multi-path Channels of Communication Network Based on Python

Abstract: Based on the simulation of the combination of Python and C language, this paper simulates the dynamic scheduling of redundant nodes in the sparse multipath channel of the communication ...