Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

From this basis emerged the clinical confidence that diagnostic truth lived somewhere at the far end of a resolution curve. Butterfly Network may be challenging that premise from the ground up.

An international analysis combining brain imaging data from multiple independent studies has identified a common pattern in ...

New AI models are accelerating the game of cat-and-mouse as cybersecurity experts try to keep ahead of would-be hackers. An ...

The Trump administration, which took a noninterventionist approach to artificial intelligence, is now discussing imposing oversight on A.I. models before they are made publicly available. By Tripp ...

Abstract: To address the problem of sea ice collisions threatening offshore drilling operations in polar regions, this paper proposes a Bayesian network-based collision risk assessment model for ...

The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and climate resilience. As a small island state, the Maldives is heavily dependent on ...

Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...

This study examines the interdependencies among different chronic pain locations and their relationships with age and gender, critical for effective clinical strategies. The model identified direct ...

This repository contains the implementation of an optimized Bayesian Network for COVID-19 diagnosis leveraging Dirichlet priors and BDeu scoring for accurate inference. The model achieves over 94% ...