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Data Party THU
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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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Recent Articles

Latest from Data Party THU

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Data Party THU
Data Party THU
Jul 28, 2026 · Artificial Intelligence

Can AI with Pre‑1905 Knowledge Become the Next Einstein? DeepMind Examines the Missing Step

The article reviews DeepMind’s “LLMs can’t jump” paper, arguing that even if large language models are fed all scientific knowledge up to 1905, they still cannot recreate Einstein’s breakthrough because they lack the abductive jump from physical intuition to new axioms, a capability that requires interactive world models and physical priors.

Abductive ReasoningArtificial IntelligenceLarge Language Models
0 likes · 8 min read
Can AI with Pre‑1905 Knowledge Become the Next Einstein? DeepMind Examines the Missing Step
Data Party THU
Data Party THU
Jul 28, 2026 · Artificial Intelligence

The Three Paradoxes Blocking Mature AI Agents: Memory, Reasoning, and Self‑Evolution

The article reviews recent AI agent research, exposing three structural paradoxes—memory, reasoning, and evolution—each illustrated with concrete systems, benchmarks, and safety studies, and argues that only coordinated progress across all three dimensions can yield truly mature, self‑improving agents.

AI AgentsMemory Managementevaluation
0 likes · 16 min read
The Three Paradoxes Blocking Mature AI Agents: Memory, Reasoning, and Self‑Evolution
Data Party THU
Data Party THU
Jul 27, 2026 · Artificial Intelligence

How Shared Embodied Intelligence Redefines Human‑Robot Collaboration

Recent research introduces the Shared Embodied Intelligence framework, integrating a biomechanical human model with robot hardware and control systems to co‑optimize design, enabling the ergoCub humanoid robot to adapt its motions in real time for safer, more efficient human‑robot collaboration, as demonstrated in load‑lifting and disturbance‑rejection experiments.

biomechanical modelingco-designembodied intelligence
0 likes · 7 min read
How Shared Embodied Intelligence Redefines Human‑Robot Collaboration
Data Party THU
Data Party THU
Jul 26, 2026 · Artificial Intelligence

VideoChat3: Open-Source Full-Stack Video Understanding Model Linking Perception, Understanding, and Interaction

VideoChat3 is a 4‑billion‑parameter multimodal large model that unifies short‑video, long‑video, and streaming video understanding through a native spatiotemporal encoder, adaptive resolution budgeting, and four‑stage training, achieving competitive accuracy while dramatically reducing visual token count and inference cost.

Adaptive ResolutionI3D-ViTLong Video
0 likes · 15 min read
VideoChat3: Open-Source Full-Stack Video Understanding Model Linking Perception, Understanding, and Interaction
Data Party THU
Data Party THU
Jul 26, 2026 · Artificial Intelligence

Understanding VLA Safety: A Visual Overview and Design Guidelines for Robot Security

The article reviews the Vision‑Language‑Action (VLA) safety landscape, classifies attacks and defenses across training and inference phases, highlights the multimodal attack surface, real‑time constraints, and simulation‑to‑reality gaps, and proposes a fast‑slow dual‑loop defense architecture for safe embodied AI.

AI safetyDefense StrategiesMultimodal Attack
0 likes · 9 min read
Understanding VLA Safety: A Visual Overview and Design Guidelines for Robot Security
Data Party THU
Data Party THU
Jul 25, 2026 · Artificial Intelligence

Generative Communications: A Controllable Generation Paradigm for 6G

This article reviews the emerging concept of Generative Communications (GenCom) for 6G, explaining how the communication goal shifts from raw data replication to controlled generation using minimal semantic cues, large‑model priors, and shared knowledge bases, and discusses its architecture, key technologies, applications, and open research challenges.

6GAI-driven NetworksControlled Generation
0 likes · 15 min read
Generative Communications: A Controllable Generation Paradigm for 6G
Data Party THU
Data Party THU
Jul 25, 2026 · Artificial Intelligence

Kimi K3 vs GPT‑5.6 Sol: A Full‑Scale Comparative Evaluation

The article presents a detailed head‑to‑head assessment of the open‑source Kimi K3 model and the closed‑source GPT‑5.6 Sol, measuring their ability to generate playable 3D games, handle full‑stack development tasks, and comparing performance, token efficiency, and engineering completeness.

3D game generationAI model comparisonGPT-5.6 Sol
0 likes · 13 min read
Kimi K3 vs GPT‑5.6 Sol: A Full‑Scale Comparative Evaluation
Data Party THU
Data Party THU
Jul 24, 2026 · Artificial Intelligence

Create an IMDB Sentiment Classifier with Scikit‑LLM & Groq in 500 Lines

This tutorial walks through building a complete sentiment‑analysis pipeline for the IMDB movie‑review dataset using Scikit‑LLM and Groq, from environment setup and data sampling to custom text cleaning, zero‑shot LLM classification, model fitting, prediction, and evaluation with a 95% accuracy report.

GroqIMDB datasetPipeline
0 likes · 8 min read
Create an IMDB Sentiment Classifier with Scikit‑LLM & Groq in 500 Lines
Data Party THU
Data Party THU
Jul 24, 2026 · Fundamentals

Maximum Likelihood Estimation Explained Simply: Core Principles, Code Walkthroughs, and Limitations

This article demystifies maximum likelihood estimation by using a coin‑flip example to contrast probability and likelihood, introduces log‑likelihood for numerical stability, shows Python implementations for discrete and continuous cases, discusses historical origins, and highlights practical limitations such as small‑sample bias and over‑fitting.

Log-LikelihoodMaximum Likelihood EstimationParameter Estimation
0 likes · 30 min read
Maximum Likelihood Estimation Explained Simply: Core Principles, Code Walkthroughs, and Limitations