One of the most significant accelerants of embedded finance in 2026 is the tokenization of real-world assets (RWAs). Tokenization enables assets such as real estate, private credit, commodities, or ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Marketing professionals question whether "Generative Engine Optimization" accurately describes work focused on shaping ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...
Abstract: This work presents the design and implementation of a data-driven Nonlinear Model Predictive Control (NMPC) framework for an Uncrewed Aerial Vehicle (UAV) equipped with a 3-DOF robotic arm.
Abstract: Interactive data generated by Internet of Things (IoT) devices provides a strong foundation for advancing artificial intelligence. However, the transmission of IoT data poses significant ...
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