Who controls synthetic publics? Who benefits from their use? And what kind of democratic future is being built in our name?
A report finds it a “global construction frenzy,” driven by the heavy computing and power needs of generative AI systems.
This repository contains the code and documentation for a project that focuses on predicting stock market prices using LSTM models and optimizing a portfolio based on these predictions. Objective: ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
AI’s financing boom is like a “pig going through a python.” TD Asset Management’s Anthony Foss discusses opportunities and ...
Get up and running with routes, views, and templates in Python’s most popular web framework, including new features found ...
Abstract: This paper introduces the MagNetX 1 - an extension of the MagNet database to investigate transient hysteresis of magnetic materials. By employing automated data acquisition and measurement ...
Abstract: Big data applications such as Artificial Intelligence (AI) and Internet of Things (IoT) have in recent years been leading to many technological breakthroughs in system modeling. However, ...
Bin Li Contributes New Data-Driven Model Integrating BOM and ECBOM for Manufacturing Energy Analysis
Research on digital twin technology for green manufacturing establishes new frameworks for energy efficiency assessment, while practical ...
This project is a fork of psycopg, originally developed by the Psycopg Team. Original work: Copyright © 2020 The Psycopg Team License: GNU Lesser General Public ...
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