Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Ramp reports that AI expense management automates receipt processing, categorization, and policy enforcement, saving time, ...

Abstract: Malware has emerged as a cyber security threat that continuously changes to target computer systems, smart devices, and extensive networks with the development of information technologies.

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

AI algorithms exhibit racial bias in job candidate screening, and they discriminate more frequently against those applying for multiple jobs at different companies, according to Stanford-led ...

Abstract: With the rapid advancement of technology and the increasing demand for user-centric products, the integration of machine learning techniques has become imperative. This paper explores the ...

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

"Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction" [PDF]. (code is in the previous version of this repo [link]) Due to the random data ...