While building machine learning models is fundamental to today’s narrow applications of AI, there are a variety of different ways to go about realizing the same ends. So-called machine learning ...

The most essential step in creating an effective machine learning model is to identify your problem and test your assumptions before jumping into data or algorithms.

Mount Sinai researchers created a machine learning model to determine COVID-19 patients most at risk for treatment requiring dialysis or critical illness leading to death.

A survey of 23 machine learning (ML) practitioners across the U.K. and other parts of the world, conducted by King's College ...

How to get started with machine learning and AI We wrap our heads around the basics of AI/ML and show you how to get a model off the ground.

A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.

Researchers from Peking University have developed a novel noninvasive choroidal angiography method that enables layer-wise visualization and evaluation of choroidal vessels using deep learning.

Big-data company Databricks Inc. is hoping to empower so-called citizen data scientists to create their own machine learning models with new “Automated Machine Learning” capabilities in its ...

We describe a novel application of machine learning to visualize nonlinear relationships and interactions between variables in a model of prostate cancer mortality risk.