Technical Challenges

A Comprehensive Review of the Technological Evolution of Large Multimodal Reasoning Models: From Modular Architectures to Native Reasoning Capabilities

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A Comprehensive Review of the Technological Evolution of Large Multimodal Reasoning Models: From Modular Architectures to Native Reasoning Capabilities

This study systematically reviews and analyzes the technological development of Large Multimodal Reasoning Models (LMRMs). It outlines the evolution of the field from early modular, perception-driven architectures to unified, language-centric frameworks, and introduces the cutting-edge concept of Native Large Multimodal Reasoning Models (N-LMRMs). The paper constructs a structured roadmap for the development of multimodal reasoning, … Read more

Technical Challenges and Opportunities in Embedded Machine Learning Processors

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Technical Challenges and Opportunities in Embedded Machine Learning Processors

In December 2016, Vivienne Sze, Yu-Hsin Chen, and others (authors of Eyeriss) published a good review article titled “Hardware for Machine Learning: Challenges and Opportunities” on arXiv. Here, I would like to discuss my understanding of the “challenges” and “opportunities” in conjunction with this article [8] and the ISSCC2017 paper [1-7]. First, this discussion mainly … Read more