A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...
Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...
Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...
TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...
BackgroundBird populations are facing unprecedented global pressures from climate change, habitat fragmentation, land use ...
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How a new forecasting model accurately predicted the outcome of the 2024 presidential election
A forecasting framework that measures how voters evaluate candidates’ future leadership abilities and policy expertise accurately anticipated the closely contested outcome of the 2024 United States ...
Abstract: Reinforcement learning (RL) has recently been applied to quadruped robot locomotion control; however, its reliance on large datasets and high computational requirements makes real-time ...
Abstract: Complex industrial processes often run under varying operating conditions. Learning-based control methods are difficult to adapt to these unknown variations. Therefore, it is necessary to ...
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