PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

The Forecasting Fix That Wall Street Missed

A new study shows why traditional valuation ratios like price/dividend and CAPE fail to predict stock returns—and how ...
Frontiers

From Black Box to Glass Box: Trustworthy AI for Live Quantitative Investment

The mainstream adoption of machine learning in investment management has created a widening gap between predictive ...
Snopes.com

Will Utah data center use 16B gallons of water and span almost 3 Manhattans? What to know

In spring 2026, social media users spread a rumor that a new data center in Utah would use about 16 billion gallons of water a year and that the center would be 2.7 times the size of Manhattan. Utah ...
IEEE

Transformers for Multivariate Time Series Forecasting: Comprehensive Analysis, Challenges, Research Opportunities, and Future Prospects

Abstract: Multivariate time series (MTS) forecasting appears in many applied settings, ranging from finance and healthcare to energy systems, climate analysis, and IoT-based platforms. In these fields ...
IEEE

A Short-Term Photovoltaic Power Forecasting Method Based on Meteorological Data Using GRF-LSTM-XGBoost Model

Abstract: This paper proposes a short-term photovoltaic power forecasting method based on a Genetic Algorithm-Random Forest (GRF)-LSTM-XGBoost hybrid model, aimed at improving accuracy by addressing ...