How ICE Already Knows Who Minneapolis Protesters Are

Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but ...
How-To Geek on MSN

Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...

Not all MMM tools are equal: Meridian, Robyn, Orbit, and Prophet explained

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
GitHub

FMOkit: A Python toolkit for the preparation and analysis of FMO calculations

FMOkit is a command-line toolkit written in Python for both preprocessing and postprocessing of Fragment Molecular Orbital(FMO) calculations. Generates GAMESS input files for FMO calculations from the ...
IEEE

An Effective Summary Preprocessing Method for Time Series Forecasting With Multiple Temporal Granularities

Abstract: Time-series forecasting plays a pivotal role in decision-making. Recently, as deep learning models have shown exceptional performance in time-series forecasting, research in the field of ...
collider

10 Best Action Shows of All Time, Ranked

Kareem is a veteran editor and writer with over 15 years of experience covering all forms of entertainment, from music to movies. He serves as a High Trending List Writer for Collider, covering all ...
IEEE

A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy

Abstract: Information technology growth brings vast time-series data. Despite richness, challenges like redundancy emphasize the need for time-series data fusion research. Rough set theory, a valuable ...