This important cross-species study tests whether the corpus callosum contains parallel, segregated pathways for ipsilateral and contralateral visual-field information, rather than mixed inputs from ...

The crypto market has defeated more prediction models than any other asset class in history. Neural networks trained on ...

For just one-tenth of a second in May 2019, the universe delivered a signal that did not fit the usual script. LIGO and Virgo ...

a.s.ist today announced the launch of a 7-day free trial for AutoStatSpectra, its Bayesian-statistics-based spectral analysis ...

Class of 2026 Cadets Boston Graf, Maksymilian Olszowka and Elizabeth “Ezra” Bardales labored on a capstone project, a ...

When investigators arrive at a crime scene, one of the most overlooked yet powerful clues they may find is a shoe print. But ‘matching’ a shoe to a print with ‘class characteristics’ such ...

To address the limitations of binary pCR classification, Pusztai and colleagues developed the residual cancer burden (RCB) ...

This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs). Extending an ...

Abstract: Cybercrime has emerged as a pervasive global issue, impacting nations worldwide. In response to this growing threat, we aimed to develop a data-driven framework for national cybersecurity ...

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...

Welcome to the inference code for the paper "Protein Sequence Modelling with Bayesian Flow Networks". With this code, you can sample from our trained models ProtBFN, for general proteins, and AbBFN, ...