Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Drawing on research, ESMT’s Oliver Binz shows why breaking profitability into its underlying drivers — rather than treating ...

Abstract: Time series data permeates our daily existence and has been recognized as of significant importance for many sectors, such as energy, transportation, telecommunication, and health care.

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Abstract: Wind power generation has grown in importance as renewable energy technology has advanced; nonetheless, wind speed forecasting remains a concern. Traditional approaches are inadequate in ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

Malaysia's meteorological department warned of a monsoon surge there in early January. Read more at straitstimes.com. Read ...