Model may help identify women at risk for overactive bladder

A machine learning model can predict overactive bladder (OAB) risk in women using common reproductive and sociodemographic ...
Phys.org on MSN

Soil methane sink may be larger than thought, three-model analysis finds

Methane-munching microbes in soil might be more important than previously thought, a new study finds. Soil is an important ...
eWeek

Types of AI Models: A Deep Dive into AI Architecture

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Hackaday

Machine Learning COFFIES “Hears” Sunspots Before We Can See Them

In this age of neural net “AI”, even the most skeptical of Butlerians have to agree that these machine learning models can be ...
Interesting Engineering on MSN

New framework cuts errors by 80%, helps scientists predict fusion machine’s hardware changes

Inside a fusion machine, the plasma can reach temperatures hotter than the Sun’s core ...
Frontiers

Application of Ecological Niche Models in Wildlife Disease Surveillance

Wildlife populations serve as primary reservoirs for many emerging and endemic infectious agents, yet surveillance of pathogens in natural systems remains ...

Machine learning approach could bring greater certainty to prenatal genetic testing

Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn ...
The Conversation

Computer models are vital for studying everything from climate change to disease – here’s how AI could make them even better

Here’s one definition of science: it’s essentially an iterative process of building models with ever-greater explanatory power. A model is just an approximation or simplification of how we think the ...