XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...
Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...
The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.
A new control system uses machine learning to distinguish intentional turns from instability and provide stabilisation ...
VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...
A national NHANES analysis of 9,405 U.S. adults aged 50 and older found that any yogurt, prebiotic, or probiotic consumption ...
Abstract: Concepts have been adopted in concept-cognitive learning (CCL) and conceptual clustering for concept classification and concept discovery. However, the standard CCL algorithms are incapable ...
A new study suggests low-intensity ultrasound can influence immune cell behavior in ways that may reduce chronic inflammation ...
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