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 ...

AI-based demand forecasting creates planning reliability in the textile industry

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...
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 ...

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 ...
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 ...
Reuters

Microsoft limits employee use of Anthropic's Claude Fable 5 over data retention concerns, The Verge reports

June 10 (Reuters) - Microsoft (MSFT.O), opens new tab is limiting employees' use of Anthropic's Claude Fable 5 because of the AI startup's new data retention requirements, The Verge reported on ...