In this article, we present a hardware architecture optimized for sparse and dense matrix processing in TensorFlow Lite and compatible with embedded-heterogeneous devices that integrate central ...

In modern machine learning models like Transformers, matrix multiplication dominates most computation. Specific hardware often uses large-scale PE arrays, such as systolic arrays, to accelerate this ...

About Structured State Matrix Architecture (SSMA) is a high-performance framework designed for efficient sequence modeling, combining structured state space models with adaptive attention mechanisms.

For architecture diagrams, it can even generate corresponding IaC templates following AWS best practices. Additionally, an interactive Analyzer Assistant chatbot enables users to ask questions, seek ...

Built with accessibility at its core, Skywork Deep Research Agent v2 is created with one simple but ambitious vision: to make ...

If you’re new to project management and aren’t sure about RACI charts, this guide will teach you what they are, how they work, and how you can make one.

Model Architecture Matrix-Game 2.0 introduces a new vision-driven approach to interactive world modeling—moving away from language-prompt dependency and focusing on spatial understanding and ...