Researchers develop low-cost AI tool to help cities map urban tree canopy

As a heat dome drives dangerous temperatures across much of the United States and renews concerns about extreme heat, USC ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
Eos

Comparing Machine Learning Models of Raindrop Formation

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...
Fierce Healthcare

Microsoft, Mayo Clinic plan to build frontier AI model for healthcare

Mayo Clinic plans to develop and deploy a frontier AI model specifically designed for healthcare in collaboration with Microsoft. The strategic collaboration combines Mayo Clinic’s global healthcare ...
Retail Dive

Dollar Tree CEO: ‘Our model is built for environments like this’

Dollar Tree is benefiting from trade-in behaviors as customers across income brackets are increasingly value-focused, according to executives. The retailer pointed to its pricing strategy as one of ...
IEEE

Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries

Abstract: Accurate estimation of State-of-Charge (SoC) and core temperature is fundamental to optimizing the performance, safety, and longevity of Lithium-Ion Batteries (LiBs), particularly in ...
Hosted on MSN

Giant tree clearing machine working deep in the forest

A massive John Deere forestry machine powers through dense woodland while clearing trees, crushing brush, and tearing through rough terrain. The giant heavy equipment showcases incredible strength, ...
BMJ

Development of an interpretable machine learning model for frailty risk prediction in older adult care institutions: a mixed-methods, cross-sectional study in China

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...
Frontiers

An interpretable machine learning model for detecting vision-threatening diabetic retinopathy among patients with diabetic retinopathy: a web-based cross-sectional study

Vision-threatening diabetic retinopathy (VTDR) is a severe complication of type 2 diabetes mellitus (T2DM), particularly prevalent in patients with prolonged disease duration, poor glycemic control, ...