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AI2ML AI to Machine Learning
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AI2ML AI to Machine Learning

Original articles on artificial intelligence and machine learning, deep optimization. Less is more, life is simple! Shi Chunqi

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Latest from AI2ML AI to Machine Learning

53 recent articles
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Mar 10, 2026 · Artificial Intelligence

How Anthropic and Palantir Collaborate on Modern Warfare Information Mining

The article analyzes Palantir's ontology-driven knowledge graph dominance, its shift from graph to vector databases, the three‑layer partnership with Anthropic and AWS, the Digital Twin scaling law, and the technical challenges of data heterogeneity, scaling uncertainty, annotation scarcity, and real‑time computation in modern warfare information mining.

AWSAnthropicDigital Twin
0 likes · 9 min read
How Anthropic and Palantir Collaborate on Modern Warfare Information Mining
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Feb 27, 2026 · Artificial Intelligence

Why No Single Algorithm Dominates Vector Search: A Deep Dive into Modern Vector DBs

The article surveys emerging vector databases, explains how various vector‑search algorithms such as FLAT, IVF, HNSW, DiskANN and ScaNN differ in accuracy, speed, memory use and build time, and provides practical guidance for choosing the right index based on data size, latency and resource constraints.

Approximate Nearest NeighborDiskANNHNSW
0 likes · 9 min read
Why No Single Algorithm Dominates Vector Search: A Deep Dive into Modern Vector DBs
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Feb 24, 2026 · Artificial Intelligence

Optimizing Structured Processes in the Large‑Model Era: From Reasoning to Agentic RL

The article analyzes how large‑model development has moved from reasoning to the agentic stage, compares open‑source and closed‑source capabilities, details Reasoning RL versus Agentic RL designs, and proposes skill‑centric data and verification mechanisms to close the performance gap.

DeepSeekGLM-5Large Language Models
0 likes · 10 min read
Optimizing Structured Processes in the Large‑Model Era: From Reasoning to Agentic RL
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Feb 7, 2026 · Artificial Intelligence

Why the ‘Skills’ Approach Is the Third Major Compromise Shaping Enterprise AI in 2026

The article argues that embracing the Skills paradigm— a lightweight, low‑cost alternative to large‑scale model training—represents the third major compromise in the large‑model era, balancing reduced emergence and planning hallucinations against increased stability and engineering efficiency for enterprise AI deployments.

Agentic AIEnterprise AILarge Language Models
0 likes · 8 min read
Why the ‘Skills’ Approach Is the Third Major Compromise Shaping Enterprise AI in 2026
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Feb 4, 2026 · Artificial Intelligence

Google’s Second Sword: Accelerating LLM Inference with Speculative Decoding and Cascades

The article analyzes Google’s shift from scaling‑law to efficiency‑law, detailing how speculative decoding, language‑model cascades, distillation, CALM, accurate quantized training, and the Mixture‑of‑Recursions architecture together form a multi‑layered strategy to cut inference cost, boost throughput, and sustain the company’s AI moat.

Google TPUInference AccelerationLanguage Model Cascades
0 likes · 8 min read
Google’s Second Sword: Accelerating LLM Inference with Speculative Decoding and Cascades
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Jan 9, 2026 · Industry Insights

Why 2026 Will Be the Year Insurance Tech Explodes

The article analyzes how the AI explosion, breakthroughs like DeepSeek R1, and successful case studies such as Lemonade and AIG’s Underwriter Assistant are driving a shift in insurance from scale expansion to risk‑focused, AI‑native transformation in 2026, outlining strategic frameworks, agile tribe structures, modular delivery, and risk‑tolerant innovation processes.

AIAgiledigital transformation
0 likes · 20 min read
Why 2026 Will Be the Year Insurance Tech Explodes
AI2ML AI to Machine Learning
AI2ML AI to Machine Learning
Dec 29, 2025 · Artificial Intelligence

How Brin’s Return Powers Google’s First ‘Sword’: The TPU Hardware Revolution

The article examines Google’s AI resurgence after Sergey Brin’s comeback, detailing the evolution of TPU hardware from v1 to v7, the strategic focus on algorithmic efficiency, comparisons with Nvidia’s B200, the role of JAX/XLA, and how these advances create a powerful competitive moat for Google’s AI infrastructure.

AI hardwareGoogle TPUJAX
0 likes · 8 min read
How Brin’s Return Powers Google’s First ‘Sword’: The TPU Hardware Revolution