Google, Microsoft among those boosting AI inference performance for cloud customers using Nvidia's software Dynamo

AWS, Alphabet's (GOOG) (GOOGL) Google Cloud, Microsoft (MSFT) Azure and Oracle (ORCL) Cloud Infrastructure — are accelerating ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
The Lancet

Reducing futile donation after circulatory death procurement with machine learning

Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...

Breakthrough in AI-Powered Insurance Fraud Detection: New Study Shows Hybrid Models Cut Losses and Boost Accuracy

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...
Scientific Research Publishing

Analysis of Decision Support Systems (DSS) Integration with AI Using Mobile Health (m-Health) and Wearables ()

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
Microsoft

Whisper Leak: A novel side-channel attack on remote language models

Understand the risks of encrypted AI traffic exposure and explore practical steps users and cloud providers can take to stay ...

New risk model sets benchmark for accuracy in predicting credit rating changes

A new study has unveiled one of the most accurate corporate credit risk forecasting models to date. This study is a result of collaboration among quantitative finance experts from data and AI leader ...
AZoMining on MSN

AI-Powered Radar Model Predicts Ground Subsidence in Mining Regions with Unprecedented Accuracy

XGBoost, this research offers a reliable framework for predicting mining subsidence, promoting sustainable practices and ...
Oncology Nurse Advisor

AI Model Identified Predictors for Moderate-to-Severe CRF in Patients With CRC

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.
Frontiers

Explainable machine learning model for classifying atherosclerotic cardiovascular disease in patients with metabolic dysfunction-associated steatotic liver disease

Background: Cardiovascular disease (CVD) is the leading cause of mortality in patients with metabolic dysfunction-associated steatotic liver disease (MASLD), yet traditional risk predictors remain ...
IEEE

IoT-based Gradient Boosting Model for Efficient Agricultural Logistics and Transport Management

Abstract: Efficient logistics and transportation systems are essential for reducing post-harvest losses and enhancing supply chain performance in agriculture. This research introduces an IoT-enabled ...
thecooldown

Tesla gets global boost as key model surges ahead of competition: 'A status symbol of progress'

Experts at Transportation and Logistics International Magazine dubbed the Tesla Model Y "a status symbol of progress" among electric SUVs. TLI Magazine cited the vehicle's performance, cost, and ...