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Data Party THU

Official platform of Tsinghua Big Data Research Center, sharing the team's latest research, teaching updates, and big data news.

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Data Party THU
Data Party THU
May 18, 2026 · Artificial Intelligence

Engineering Sim‑to‑Real Migration for Embodied Intelligent Robots

The article presents a comprehensive engineering guide for embodied intelligent robots, detailing the three core Sim‑to‑Real migration technologies—high‑fidelity simulation adaptation (Isaac Sim), dynamics parameter identification with digital‑twin synchronization, and domain‑randomized pipelines—while comparing Isaac Sim and PyBullet, offering platform‑selection advice, and providing concrete rendering‑physics trade‑off configurations with performance metrics.

Digital TwinDomain RandomizationEmbodied AI
0 likes · 20 min read
Engineering Sim‑to‑Real Migration for Embodied Intelligent Robots
Data Party THU
Data Party THU
May 18, 2026 · Artificial Intelligence

How VIGIL’s Verify‑Before‑Execute Paradigm Defeats LLM Agent Tool Hijacking

VIGIL introduces a verify‑before‑commit framework that isolates tool‑stream injection attacks on LLM agents, using intent anchoring, perception sanitization, speculative reasoning, grounding verification, and validated trajectory memory, reducing attack success rates to 8‑12% while preserving task utility.

AI safetyLLM agentsSIREN benchmark
0 likes · 11 min read
How VIGIL’s Verify‑Before‑Execute Paradigm Defeats LLM Agent Tool Hijacking
Data Party THU
Data Party THU
May 17, 2026 · Artificial Intelligence

How DeepSeek Leverages MoE Parallelism: GPU Compute and Communication Optimizations

The article dissects DeepSeek's MoE model‑parallel strategy, explaining how GPU compute and communication are overlapped through expert, pipeline, and ZeRO‑1 parallelism, and introduces DualPipe and Waved‑EP kernels that enable efficient training on large‑scale hardware.

DeepSeekGPU Communication OverlapMixture of Experts
0 likes · 18 min read
How DeepSeek Leverages MoE Parallelism: GPU Compute and Communication Optimizations
Data Party THU
Data Party THU
May 17, 2026 · Artificial Intelligence

Personalizing AI Agents: Memory, Rolling Context, and Advanced Retrieval Techniques

The article explains how AI agents use memory to retain conversation context, why sending the full history to large language models is inefficient, and presents rolling context windows, inverted‑index pruning, semantic embedding retrieval, and GraphRAG as complementary strategies to build more accurate and personalized agents.

AI memoryGraphRAGLLM optimization
0 likes · 10 min read
Personalizing AI Agents: Memory, Rolling Context, and Advanced Retrieval Techniques
Data Party THU
Data Party THU
May 16, 2026 · Artificial Intelligence

How Leading Open‑Source Foundation Models and Their Derivatives Shape the AI Landscape

This article systematically analyzes the most influential open‑source foundation models—Meta Llama, Alibaba Qwen, Mistral AI, and others—detailing their core architectures, lightweight, instruction‑tuned, multimodal, and industry‑specific derivatives, and outlining current ecosystem characteristics and future development trends.

AILLMMultimodal
0 likes · 18 min read
How Leading Open‑Source Foundation Models and Their Derivatives Shape the AI Landscape
Data Party THU
Data Party THU
May 15, 2026 · Artificial Intelligence

94% Precision: YOLO11‑Based Detection of Near‑Earth Object and Satellite Streaks

The StreakMind system built by the Spanish Royal Navy Academy uses a YOLO11‑OBB detector trained on over 2,000 real astronomical images and 280 synthetic streaks to automatically identify satellite and asteroid streaks with 94% precision and 97% recall, delivering standardized database entries and robust frame‑to‑frame tracking.

StreakMindYOLO11astronomical imaging
0 likes · 10 min read
94% Precision: YOLO11‑Based Detection of Near‑Earth Object and Satellite Streaks
Data Party THU
Data Party THU
May 15, 2026 · Artificial Intelligence

2026 Big Data Challenge Announces Monthly Star Winners and Shares Winning Teams’ Insights

The 2026 China University Computer Competition – Big Data Challenge reveals the Monthly Star award winners, each receiving 800 RMB, and presents detailed experience reports from the top teams covering feature engineering, model selection, training validation, and ensemble strategies for stock prediction.

Big DataMachine LearningModel Fusion
0 likes · 7 min read
2026 Big Data Challenge Announces Monthly Star Winners and Shares Winning Teams’ Insights
Data Party THU
Data Party THU
May 14, 2026 · Artificial Intelligence

Explore TimechoAI: The New Timer Time‑Series Large Model Cloud Service Now Open for Beta

TimechoAI, the cloud service built on the Timer time‑series large model, offers the latest SOTA model (Timer‑3.5) alongside classic baselines, supports multiple data input methods, covariate integration, and API/SDK access, and invites industrial and IoT teams to test its predictive maintenance, production optimization, energy load forecasting, and anomaly detection capabilities through a simple invitation process.

AI Cloud ServiceIndustrial IoTPredictive Maintenance
0 likes · 13 min read
Explore TimechoAI: The New Timer Time‑Series Large Model Cloud Service Now Open for Beta
Data Party THU
Data Party THU
May 13, 2026 · Artificial Intelligence

The Ultimate Anthropic Engineer’s Guide to Claude Code Skills

This guide explains what Claude Code skills are, categorizes common skill types, provides concrete examples for each category, and offers detailed best‑practice recommendations for building, testing, sharing, and managing skills within Claude’s AI ecosystem.

AI pluginsBest PracticesClaude Code
0 likes · 15 min read
The Ultimate Anthropic Engineer’s Guide to Claude Code Skills