Results 231 to 240 of about 12,151,236 (300)
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
Advanced Science, EarlyView.Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang +9 more
wiley +1 more source
An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization
Advanced Science, EarlyView.An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang +9 more
wiley +1 more source
Fictional narrative as a variational Bayesian method for estimating social dispositions in large groups. [PDF]
J Math Psychol, 2019 Carney J, Robertson C, Dávid-Barrett T.
europepmc +1 more source
Advanced Science, EarlyView.We present a complete T2T genome assembly for a key bat reservoir. Integrating population genomics, comparative genomics, transcriptomics, single‐cell omics, and functional assays, we resolve previously inaccessible genomic regions and identify evolutionary signatures associated with immune adaptation.
Yuting Wang +15 more
wiley +1 more source
Advanced Science, EarlyView.Subcellular spatial transcriptomics enables high‐resolution mapping of gene expression within tissues, but accurate cell segmentation is essential for assigning transcripts to individual cells. We present SpaCut, a deep learning framework that integrates transcriptomic features with nucleus‐guided morphological information to precisely delineate cell ...
Yongheng Li, Fangfang Zhu, Wenwen Min
wiley +1 more source
A bayesian method for accelerated magnetic resonance elastography of the liver. [PDF]
Magn Reson Med, 2018 Ebersole C +5 more
europepmc +1 more source
ReLink: Reliable Deep Learning for Microscopic Motion Tracking
Advanced Science, EarlyView.ReLink enables reliable trajectory linking in single‐particle tracking by integrating physics‐informed motion statistics with confidence‐based adaptive filtering. Across diverse simulated and experimental conditions, ReLink robustly reconstructs trajectories and preserves the fidelity of downstream analyses, enabling accurate characterization of ...
Yuan Jiang +7 more
wiley +1 more source
Simplified Bayesian method: application in cytogenetic biological dosimetry of mixed n + γ radiation fields. [PDF]
Radiat Environ Biophys, 2019 Słonecka I, Łukasik K, Fornalski KW.
europepmc +1 more source
Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems
Advanced Electronic Materials, EarlyView.Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang +9 more
wiley +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
Advanced Electronic Materials, EarlyView.A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source