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 ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

Researchers use AI to evaluate a systematic framework to describe molecular order in liquid water

Water is the most abundant liquid on Earth's surface, and it is highly anomalous compared with other liquids because it ...
Tech Times

Hermes MoA 2.0 Combines GPT, Claude and DeepSeek to Outscore Any One Model

Nous Research has released Hermes Mixture of Agents 2.0 (MoA 2.0), an update to its open-source Hermes Agent framework that ...
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 ...
Frontiers

A machine learning-based classification model for interstitial lung disease in rheumatoid arthritis

This study aimed to develop and validate a preliminary classification and diagnostic model for rheumatoid arthritis-associated interstitial lung disease (RA-ILD) using routine, readily available ...
Computer Weekly

Glasgow researchers use machine learning to build network digital twin

Researchers at the University of Glasgow have developed a new way to test networks, which they claim is 25,000 times faster than traditional approaches. Shenjia Ding, a research student at the ...
Nature

Deep Learning Approaches for Flower Image Classification

Deep learning has transformed flower image classification by replacing hand-crafted features with end-to-end trainable models capable of capturing complex visual patterns. Convolutional neural ...
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 ...
iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...