The Vector-HaSH model reveals how place cells and grid cells help with memory storage, by indexing without erasing previous ...

Chinese tech firms kicked off the month with notable AI model launches, including new releases from Alibaba Group Holding Ltd ...

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A new model for stochastic sequential machines is introduced. This model consists of a deterministic Mealy-type synchronous sequential machine some of whose inputs are random number generators while ...

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction Abstract: Electronic health records (EHRs) are characterized as nonstationary, heterogeneous, noisy, and sparse data; ...

We did a sequential annual cross-sectional study of 2164 children aged 8–9 years attending primary schools between 2009–10 and 2013–14 in central ... (PM 2·5) maps of London using the KCLurban model ...

This work introduces a foundation model for recommendation systems aimed at enhancing generaliation. The proposed RecGPT model features a novel vector quantization-based item tokenizer that creats ...

To address these constraints, this study implemented the Soil and Water Assessment Tool (SWAT) in conjunction with the SUFI-2 (Sequential Uncertainty Fitting v2) algorithm in the Thiokoye River ...

Compound-specific isotope analysis (CSIA) enables quantification of biodegradation by use of the Rayleigh equation. The Rayleigh equation fails, however, to describe the sequential degradation of ...

In this up-to-date meta-analysis, GRADE assessment shows high-certainty evidence that iNPWT is effective in reducing SSI, and uncertainty is less than in previous meta-analyses. TSA indicated that ...