MedPage Today

Combination Model May Improve Diagnosis of Serious Respiratory Infections

A model that combines a host biomarker with a generative artificial intelligence (AI) analysis of electronic medical records ...
IEEE

An Airborne Radar Clutter Suppression Algorithm Based on Negative Log-Likelihood Minimization

Abstract: Space time adaptive processing (STAP) plays an important role in the field of airborne radar clutter suppression. However, due to the inhomogeneity of the clutter environment, the radar ...
Frontiers

Analyzing the persuasion mechanism of AI-generated rumors via the elaboration likelihood model

Background: While the technological advancements of Generative Artificial Intelligence are widely recognized, how they reshape the psychological mechanisms of human persuasion and information ...
Microsoft

Fara-7B: An Efficient Agentic Model for Computer Use

In 2024, Microsoft introduced small language models (SLMs) to customers, starting with the release of Phi (opens in new tab) models on Microsoft Foundry (opens in new tab), as well as deploying Phi ...
Harvard Medical School

New Artificial Intelligence Model Could Speed Rare Disease Diagnosis

A new AI model called popEVE can predict how likely each variant in a patient’s genome is to cause disease. The team is testing popEVE in clinical settings to see if it can speed accurate diagnoses of ...
IEEE

AetherLog: Log-based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs

Log-based fault root cause analysis (RCA) is paramount for ensuring the reliability of large-scale software systems. While small language model (SLM)-based methods offer efficiency and ease of ...