MiniMax M2.5 Uses 10B Active Parameters per Token, Aiming for Cheaper Always-On Agents

MiniMax M2.5 hits about 80% on Sweetbench and runs near 100 tokens per second, helping teams deploy faster models on tighter budgets.
IEEE

ScanNow: A Scan Window-Based Sparse Matrix Multiplication Accelerator Design

Sparse matrix-matrix multiplication (SpMM) is a crucial kernel in various applications, including sparse deep neural networks [1]–[6], graph analytics [7], triangle counting [8], and linear algebra ...
GitHub

Matrix Operations using Signals, Pipes & FIFOs

A multi-processing application that performs matrix operations using signals, pipes, and process pools under Linux/WSL. The project demonstrates process creation, inter-process communication (IPC), ...
IEEE

Privacy-Preserving PCA Based Face Recognition Scheme with Sparse Matrix Encryption

Abstract: In the field of machine learning, PCA based face recognition is widely applied in identity authentication and access control. Due to limited storage and computational capabilities, the ...
KARE 11

Study shows Operation Metro Surge costs taxpayers $18 million a week

MINNEAPOLIS — North Star Policy Action released a study Thursday showing that ICE's "Operation Metro Surge" is costing taxpayers $18 million per week. The institute is progressive and provides ...
Morningstar

Genpact Named a Leader in Everest Group's Banking Operations PEAK Matrix® Assessment 2025

Recognition highlights Genpact's AI-first, front-to-back banking operations capabilities across lending, payments, and servicing to deliver banking transformation NEW YORK, Jan. 22, 2026 /PRNewswire/ ...