Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

In a new study, researchers created an AI model of the mouse visual cortex that predicts neuronal responses to visual images.

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In a new paper published in the journal Trends in Genetics researchers from the University of Vermont and Trinity College ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Data from 41 million galaxies does not shake up the standard cosmological model after all. To that conclusion, to their own ...

How do neural networks work? It's a question that can confuse novices and experts alike. A team from MIT's Computer Science ...

A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an ...

This study presents a Temporal Effect Removal from LST (TERL) method to effectively correct for differences due to observation time and thereby enhance the temporal consistency of BT data. The core of ...

Predictive analytics is a category of advanced data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling, data ...