This repository contains a capstone project for time series stock analysis using historical NSE/BSE stock data. The goal is to build a complete pipeline from raw data acquisition and preprocessing ...

An international research team led by National Taiwan University has developed a new analytical framework based on Empirical Dynamic Modeling. This framework can quantify how response diversity varies ...

Series B led by Peter Thiel funds manufacturing and first deployments of autonomous, ocean-powered computing systems for a new class of AI infrastructure PORTLAND, Ore.--(BUSINESS WIRE)--Panthalassa, ...

Real‑time data visualization has become a requirement, not a luxury. US engineering teams, financial desks, and defense analysts need dashboards that update at 60 frames per second while handling tens ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

As we drove through southwest Memphis, KeShaun Pearson told me to keep my window down—our destination was best tasted, not viewed. Along the way, we passed an abandoned coal plant to our right, then ...

Believe it or not, web search is still thriving as an industry. As businesses invest in using AI agents to make the most of their data, there’s demand for tools that not only scrape the web to inform ...

Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...

Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...