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

Abstract: This communication presents a unified method for extracting and characterizing the equivalent-circuit parameters of frequency-selective surface (uniformly abbreviated as FSS), by introducing ...

In this tutorial, we demonstrate how we use Ibis to build a portable, in-database feature engineering pipeline that looks and feels like Pandas but executes entirely inside the database. We show how ...

The proposed optical computing chip enables high-speed, parallel processing for quantitative trading with unprecedented low latency, accelerating the crucial and demanding step of feature extraction.

A research team from Tsinghua University has developed an optical computing system that dramatically reduces latency in feature extraction - one of the most critical stages in real-time data ...

Add a Python tool to visualize AI agent workflows in real time. It will show how prompts, responses, and memory are handled across different agents in existing AI apps. Better understanding: Makes it ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

I’d like to be able to customize the display format of numeric fields — for example, to show values as currency, percentages, or with specific decimal precision. It would make data more readable and ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...