A new kind of artificial intelligence agent, trained to understand how software is built by gorging on a company’s data and learning how this leads to an end product, could be both a more capable ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

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

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

In this work, we propose a Gaussian mixture model based anomaly detection algorithm for the identification of MUs. We first show that the presence of MUs degrades the CSS performance.

To our knowledge, no large-scale, multicenter study has comprehensively analyzed the various dimension predictors of adherence to electronic patient-reported outcomes (ePRO)-guided nutritional ...

In this paper, the characteristics of heteroscedasticity Gaussian noise are introduced into the model TSVR, and the twin support vector regression model based on heteroscedasticity Gaussian noise ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

Alan Cheng, high school superintendent for New York City Public Schools, leads a portfolio of 50 innovative schools—including those in the Internationals Network for Public Schools, the New York ...

Code release for the paper "GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats" - hse1032/GSGAN ...

Ron Rivera was brought on to serve as the general manager at his alma mater this offseason, and now, coach Justin Wilcox will report directly to him.