Tech Times

MiniMax M3 Open-Weight Coding Model: Frontier Claims, Unverified Benchmarks

MiniMax M3 launched June 1, 2026 with a 1-million-token context window and company-reported SWE-Bench Pro scores that edge ...
IEEE

Accelerating Sparse Matrix-Matrix Multiplication by Adaptive Batching Strategy on MGPUSim

Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...
GitHub

sparse-matrix-vector-multiplication

This project focuses on lossless compression techniques optimizing space, time, and energy for multiplications between binary (or ternary) matrix formats and real-valued vectors.
IEEE

Performance-portable sparse matrix-matrix multiplication for many-core architectures

Abstract: We consider the problem of writing performance portablesparse matrix-sparse matrix multiplication (SPGEMM) kernelfor many-core architectures. We approach the SPGEMMkernel from the ...
Design-Reuse

A custom RISC-V vector instruction to accelerate structured-sparse matrix multiplications

A novel AI-acceleration paper presents a method to optimize sparse matrix multiplication for machine learning models, particularly focusing on structured sparsity. Structured sparsity involves a ...
Europe PMC

In-memory sparse matrix multiplication with a low-power self-rectifying memristor array

Memristor-enabled in-memory computing provides an unconventional computing paradigm to surpass the energy efficiency of von Neumann computers. However, owing to the physical limitation of the crossbar ...
Psychology Today

The Matrix, Psychedelics, and Consciousness

This post is in response to The Emerging Revival of Psychedelics in Neuroscience By Cami Rosso In honor of the long-awaited release of fourth movie in the Matrix series, ‘The Matrix Resurrections,’ it ...