The LinkedIn Algorithm Changed Again. Here's What's New For 2026

LinkedIn rewards different signals in 2026. Chris Donnelly brings data-backed insights from analyzing 300,000 posts on what ...

Elon Musk says X's new algorithm will be made open source next week

Elon Musk wrote on X that the algorithm, 'including all code used to determine what organic and advertising posts are ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

AI river forecasts may be accurate, but based on flawed logic

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...

NYU Abu Dhabi researchers develop AI system to monitor water quality and climate change

In an era of escalating environmental crises climate change, desertification, and biodiversity loss traditional methods alone ...

XRP Social Sentiment Hits “Extreme Negativity”—A Historical Setup for a Reversal?

XRP (CRYPTO: XRP) sits near $1.90 with sentiment hitting levels not seen since before its last major rally. The Crypto Fear & ...
EurekAlert!

LSTM resolves the long-standing trade-off between sensitivity and measurement range

Researchers in China propose and experimentally demonstrates a novel, deep learning-driven spectral recognition strategy, ...
GitHub

Time Series Analysis with LSTM, ARIMA, Prophet, and Anomaly Detection

├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...
Scientific Research Publishing

Daungklang, P. and Sathidbhattarasombad, C. (2022) An Experimental Comparison of SES, DES, TES, ARIMA, and LSTM Algorithms for Short Time Series Prediction. Journal of Science ...

ABSTRACT: Forecasting fuel prices is a critical endeavor in energy economics, with significant implications for policy formulation, market regulation, and consumer decision-making. This study ...