Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

When I sat down with Meta CEO and founder Mark Zuckerbergto talk artificial intelligence, I expected that he would want to ...

The Langlands programme has inspired and befuddled mathematicians for more than 50 years. A major advance has now opened up ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Introduction to Computer Vision in HealthcareLet’s face it—healthcare can be slow, expensive, and prone to human error. But what if a camera and some smart algorithms could help change that? That's ...

Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data. This ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

Scientists with NIST and the University of Colorado Boulder developed CURBy, a system that can verify the randomness of strings of numbers, which will add more protection to encrypted data in the ...