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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.

How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
GitHub

[MICCAI 2025] Code release for CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

This codebase is developed based on [1][2]. matplotlib: 3.7.2 For a detailed version, please refer to: environment.yaml. We use Matlab for converting the preprocessed ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...

Copilot Excel AI Beginners Guide: Faster Cleaning, Smart Analysis, Python Insights

AI Copilot in Excel helps clean dates, split columns, and add currency formats, so you save time and make faster, clearer decisions.
IEEE

TrafficFormer: An Efficient Pre-trained Model for Traffic Data

Abstract: Traffic data contains deep domain-specific knowledge, making labeling challenging, and the lack of labeled data adversely impacts the accuracy of learning-based traffic analysis. The ...
IEEE

Research on Multi-source Heterogeneous Data Preprocessing Based on Improved Crow Search Algorithm

Abstract: The integrity of multi-source heterogeneous data in vehicle-grid interaction is crucial to the security of the vehicle-grid system. Aiming at the problem that the missing of multi-source ...