In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Modern behavioral data science approaches treat every user interaction as a signal. Micro-interactions like hover time, pause ...

Traditional manufacturing processes like equipment maintenance, QA/QC processes, production scheduling and supply chain ...

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The study calls for a paradigm shift in how AI financial forecasting models are evaluated. Instead of relying solely on ...

When it comes to vehicle testing and validation, nothing we’ve encountered before comes close to the complexity of autonomous ...

Albemarle's $50 million in annual savings from AI-driven process optimization shows manufacturing engineers how to transform ...

VelocityEHS’ software is designed to help organizations reach their environmental, health and safety goals, offering AI-driven capabilities related to chemical inventory management, contractor safety ...

Severe weather events, such as heavy rainfall, are on the rise worldwide. Reliable assessments of these events can save lives ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...