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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Science Is Drowning in AI Slop

Now they’re being clogged with AI slop. Scientific publishing has always had its plumbing problems. Even before ChatGPT, ...
IEEE

Multilevel Attention Dynamic-Scale Network for HSI and LiDAR Data Fusion Classification

Abstract: Land use/land cover classification with multimodal data has attracted increasing attention. For hyperspectral images (HSIs) and light detection and ranging (LiDAR) data, the combination of ...
GitHub

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models

2025-01-22: LOKI is accepted to ICLR 2025. 2024-11: The source code and Datasets are released. Our evaluation framework supports over 20+ mainstream foundation models. Please see here for full model ...

From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Regular practice, clear concepts key for Computer Science

Jaipur: For students preparing for Computer Science Class 12 board exam, teachers said a clear understanding of concepts, ...
IEEE

Evaluation of Question-Answering Based Text Summarization using LLM Invited Paper

Abstract: Question-answering based text summarization can produce personalized and specific summaries; however, the primary challenge is the generation and selection of questions that users expect the ...
eWeek

GPT-5.2 Just Solved a 30-Year Math Problem

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...