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

Real-Time Estimation of Total Solar Power Output in A Region Using An Efficient Hybrid Transformer - Quantile Regression - KDE Model

Abstract: This study introduces a novel Transformer-Quantile Regression-Kernel Density Estimation model for real-time photovoltaic power estimation across Taiwan, aiming to improve the accuracy and ...
IEEE

Hybrid Single Input and Multiple Output Method For Compressing Features Towards Machine Vision Tasks

Abstract: With the advance of deep learning in the BigData era, image/video coding for machines (VCM) as called for proposals by the moving picture experts group (MPEG) now becomes the pivotal ...