Morning Overview on MSN

Different AI models are converging on how they encode reality

Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...
IEEE

Mixed-Modality Clustering via Generative Graph Structure Matching

Abstract: The goal of mixed-modality clustering, which differs from typical multi-modality/view clustering, is to divide samples derived from various modalities into several clusters. This task has to ...

96 per cent of schools in Region Three reopen for new term

Ninety- six per cent of schools in Region Three of the Ministry of Education, Skills, Youth and Information successfully ...
Commercial Integrator

The Hidden Challenges of Fragmented AV and IT Systems in Higher Ed

Inconsistent AV/IT systems challenge higher ed’s shift to multimodal learning. Logitech's Jay Lyons explores why unified ...

Hamnet Director Chloé Zhao on Eruptions, Excavations and Presence

Chloé Zhao has worked with actors who’d never acted before — like Brady Jandreau, the Lakota rodeo star at the The post ...
EurekAlert!

New AI model predicts disease risk while you sleep

Stanford Medicine scientists and their colleagues created the first artificial intelligence model that can predict more than 100 health conditions from one night’s sleep.
IEEE

Learning Dual-Fused Modality-Representations for RGBT Tracking

Abstract: The reliability of target tracking using only visible light images has become questionable in certain scenarios. However, some existing RGBT tracking algorithms tend to treat both modes ...
Frontiers

Development and validation of a multi-modality system combining radiomics and deep learning for predicting mid-pregnancy complications and enabling timely pregnancy care

Introduction: To improve the early prediction of hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM), we developed and validated an artificial intelligence (AI) model.