Tencent showcased its three core AI solutions to the world: ‘MagicDawn,’ ‘VISVISE,’ and ‘ACE.’ According to Tencent, the most decisive shift in its AI technology this year, compared to last year, is ...

Current tools for assessing ischemic stroke and bleeding risks in patients with atrial fibrillation focus on warfarin users and initial therapy decisions; however, dynamic models for reassessing these ...

With the Frontiers Research Topic “Resources for Developmental Ecological Psychology,” we aimed to bring together researchers from various branches of developmental psychology that can broadly be ...

Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

This project includes playground examples organized by chapters to help you learn everything about Apple's Foundation Models framework. It is part of the Exploring Foundation Models book. Multi-turn ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles. Physical constraints of legacy architectures made them inherently static. But in ...

As an emerging 3D cell culture system, organoid technology has demonstrated substantial potential in basic research and translational medicine by recapitulating in vivo organ structures and functions.

Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study ...

Model order reduction is a pivotal methodology in the analysis and control of dynamic systems, wherein high-order models are simplified into reduced order models (ROMs) that capture the fundamental ...

Code to support the manuscript "Assessing predictive accuracy of species abundance models in dynamic systems" to be published in Methods in Ecology and Evolution Authors: Christopher J. Brown, ...