Prediction markets and AI forecasting are colliding as platforms like Metaculus and ForeNex challenge gambling-driven models ...
Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for ...
Prediction markets are no longer niche experiments confined to academic circles or crypto communities. In 2026, they are ...
Dan Durn is auto-responding to 300,000 emails, slashing contract review times, and stress-testing earnings messaging with AI.
EightSix today launches Brand Studio, the world's first brand music intelligence system: a platform that transforms how ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...
Abstract: The precise prediction of loan defaults is very important for banks and other financial institutions to mitigate their risk. This study evaluates the performance of three different machine ...
The insurance industry is no stranger to change, but few innovations have sparked as much transformation as machine learning (ML). In recent years, ML has revolutionized property and casualty (P&C) ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
ABSTRACT: Accurate prediction of antidepressant treatment response remains a major challenge in psychiatry, particularly across diverse patient populations where genetic, demographic, and clinical ...
Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...
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