The Conversation

Machines whisper before they scream: we built an AI model that predicts expensive problems

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...
9to5Mac

Apple’s new Siri will secretly use Google Gemini models behind the scenes

Via Mark Gurman, Apple has landed on its strategy for the new Siri update coming as soon as iOS 26.4 in the spring of next year. Behind the scenes, much of the new Siri experience will use Google ...
VentureBeat

Large reasoning models almost certainly can think

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...
PC Gamer

Arc Raiders' use of AI highlights the tension and confusion over where machine learning ends and generative AI begins

RPG Larian's head writer has a simple answer for how AI-generated text helps development: 'It doesn't,' thanks to its best output being 'a 3/10 at best' worse than his worst drafts Graphics Cards 'It ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Frontiers

Early detection and severity classification of verticillium wilt in cotton stems using Raman spectroscopy and machine learning

The early detection of Verticillium wilt (VW) in cotton is a critical challenge in agricultural disease management. Cotton, a vital global textile resource, is severely threatened by this devastating ...
The Commonwealth

Commonwealth of Learning champions alternative educational models to fuel inclusive growth

Education, particularly open and distance learning, has long been associated with increasing educational access, bridging the digital divide, as well as advancing the social and economic development ...
Medical Xpress

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...
Frontiers

Embryo selection at the cleavage stage using Raman spectroscopy of day 3 culture medium and machine learning: a preliminary study

Background: Blastocyst transfer has been associated with shorter leukocyte telomere length in ART-conceived children, suggesting that extended embryo culture may accelerate aging in offspring.
IEEE

Accurate Identification of Bacteria Using a Spectral Transformer Machine Learning Model for Hyperspectral Raman Images

Abstract: In recent years Raman spectroscopy (RS) has become a promising tool for bacterial identification and antimicrobial resistance testing [1]. In this regard, multiple academic studies have ...