AI Deep Research
Weekly in-depth AI research reports covering technical principles, industry applications, and future trends.
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GPU Vision AI Pipeline Batch Processing Revolution: NVIDIA VC-6 Batch Decoder Optimization Deep Dive
NVIDIA and V-Nova collaborated to reduce per-image decode time on the VC-6 visual codec by up to 85% through architectural redesign. From system-level Nsight Systems profiling to SASS …
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LLM Architecture Deep Dive: From Transformer to MoE Evolution
This report explores the architectural evolution of Large Language Models (LLMs) in depth. Starting from the 2017 Transformer architecture that laid the foundation, it analyzes how self-attention …
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AI Agent Ecosystem: From Single Models to Autonomous Collaboration
The AI paradigm is undergoing a fundamental shift from generative dialogue to autonomous agents. AI Agents are no longer black boxes that simply output text based on prompts — they have evolved into …
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AI Hardware Compute Trends: Competitors and Innovation in a GPU-Dominated Landscape
In 2026, as AI and LLMs surge forward, compute power has become a strategic resource equivalent to electricity and oil. While NVIDIA dominates the market with its powerful GPUs and CUDA ecosystem, the …
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