BIOENGINEER

Neural Network Learns to Predict Nanofluid Flow and Heat Transfer Over a Porous Wedge

A new modeling study combines a MATLAB boundary-value solver with a Levenberg–Marquardt artificial neural network to predict ...
BIOENGINEER

Neural Network Decodes Heat and Flow of Hybrid Nanofluid Over Curved Stretching Surfaces

A combined numerical and machine-learning study simulates Williamson–Casson hybrid nanofluid flow over a curved stretching ...
Phys.org

Improving fluid simulations with embedded neural networks

While neural networks can help to improve the accuracy of fluid flow simulations, new research shows how their accuracy is limited unless the right approach is taken. By embedding fluid properties ...
EurekAlert!

A physics-informed neural network for fluid-structure coupled simulation of a euler-bernouli beam under steady flow

The study was conducted by a team led by Xiaofan Li from the University of Hong Kong, China. The researchers designed the framework to address a persistent challenge in fluid-structure interaction: ...
TechCrunch

Liquid AI, a new MIT spinoff, wants to build an entirely new type of AI

An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...
techtarget

Machine learning vs. neural networks: What's the difference?

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...