Mario Aguilar covers technology in health care, including artificial intelligence, virtual reality, wearable devices, telehealth, and digital therapeutics. His stories explore how tech is changing the ...

From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...

Journal Editorial Report: The Fed Chief signals rate cuts are coming. As we saw during the Covid pandemic, lab-created experiments can wreak havoc when they escape their confines. Once released, they ...

This is a brief description for the experiments of the USSP algorithm project. This project contains all the programs used in Paper "Stable Subsampling under Model Misspecification and Data Shift", ...

Haupt is a health and wellness editor at TIME. Function Health CEO Jonathan Swerdlin Many people have low-level risk factors, such as early signs of heart disease, smoldering inside their body. But ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

Abstract: In this paper, we explore a distributed setting, where a user seeks to compute a linearly-separable Boolean function of degree M from N servers, each with a cache size M. Exploiting the ...

ABSTRACT: This survey article illustrates many important current trends and perspectives for the field and their applications, of interest to researchers in modern algebra, mathematical logic and ...

ABSTRACT: This survey article illustrates many important current trends and perspectives for the field and their applications, of interest to researchers in modern algebra, mathematical logic and ...