High-precision analysis of 2D materials microstructures achieved using electron microscopy and machine learning

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...
Nature

‘Malicious use is already happening’: machine-learning pioneer on making AI safer

Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...
NatureOpinion

‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Machine learning automates material analysis and design using X-ray spectroscopy data

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
InfoWorld

AI and machine learning outside of Python

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
Physics World

Physicists discuss the future of machine learning and artificial intelligence

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
Communications of the ACM

Integrating Machine Learning into Physical Security Architecture

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
EurekAlert!

SwRI uses machine learning to calibrate emissions control systems faster, more efficiently

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
Deep Learning with Yacine on MSN

Which Cross-Validation Method Should You Use in Machine Learning?

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, ...
EurekAlert!

Do investors care about carbon emissions? Evidence based on stock return co-movement with machine learning-augmented data

This paper represents the first attempt to examine investor behaviour for green stocks through the lens of return co-movement ...
Deep Learning with Yacine on MSNOpinion

Why You Shouldn’t Always Use K-Fold Cross Validation in Machine Learning

K-Fold cross-validation is popular, but it’s not always the best choice. Learn when K-Fold works, when it can mislead your ...
News-Medical.Net on MSN

Machine learning model boosts success of liver transplants from circulatory death donors

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...