A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and ...

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

Five core crypto forecasting methods compared: technical analysis, on-chain metrics, sentiment scoring, fundamental analysis, ...

Abstract: Multivariate time series forecasting estimates future development by capturing variable relationships and constructing temporal regular, which is widely used in many scenarios, including ...

Norwegian Institute for Water Research, Gaustadalleen 21, 0349 Oslo, Norway, Norwegian Computing Center, P.O. Box 114 Blindern, 0314 Oslo, Norway, Department of Environmental Sciences, University of ...

Abstract: Deep learning excels at managing spatial and temporal time series with variable patterns for streamflow forecasting, but traditional machine learning algorithms may struggle with complicated ...

Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. Kronos is a family of decoder-only foundation models, pre-trained ...

Fintel reports that on April 9, 2026, BMO Capital upgraded their outlook for HealthEquity (NasdaqGS:HQY) from Market Perform to Outperform. Analyst Price Forecast Suggests 34.27% Upside As of April 9, ...

Will the world still need economists in 2030? With skin in the game, we certainly hope so — but artificial intelligence is already transforming economic analysis. In our own work — and in a review of ...