GitHub

valentineghanem-bit/hiv-tb-ml-ghana-261districts

A nationwide district-level analysis of HIV-TB co-infection in Ghana combining spatial statistics, geographically weighted regression, and ensemble machine learning across all 261 health districts ...
Frontiers

Real-world federated learning for brain imaging scientists

Federated learning (FL) has the potential to boost deep learning in neuroimaging but is rarely deployed in real-world scenarios, where its true potential lies. We propose FLightcase, a new FL toolbox ...
Federal Register

Weighted Selection Process for Registrants and Petitioners Seeking To File Cap-Subject H-1B Petitions

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.
The Banker

Crypto adoption soars across Asia, data shows

Asia-Pacific records a 69% annual surge in crypto inflows, led by India, Vietnam and Pakistan © AFP via Getty Cryptocurrency adoption grew fastest in Asia-Pacific ...
ahajournals.org

Machine Learning-Based Plasma Protein Risk Score Improves Atrial Fibrillation Prediction Over Clinical and Genomic Models

Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA (M.S.K., S. Khurshid, S. Kany, L.-C.W., S.U., C.R., L.W., S.J.J., J.T.R., P.T.E ...
San Francisco Fed

Daniel Wilson

Understanding the effects of weather on macroeconomic data is critically important, but it is hampered by limited time series observations. Utilizing geographically granular panel data leverages ...
today.ucsd

Firing Up Fire Detection Efforts with Deep Learning Models

‘SmokeyNet’ incorporates multiple datasets to result in nearly 14 percent increase in initial smoke detection SmokeyNet, a deep learning model that has recently been developed in the WIFIRE Lab at ...
IEEE

Decentralized Machine Learning Training: A Survey on Synchronization, Consolidation, and Topologies

Abstract: Federated Learning (FL) has emerged as a promising methodology for collaboratively training machine learning models on decentralized devices. Notwithstanding, the effective synchronization ...
PNAS

Geographic microtargeting of social assistance with high-resolution poverty maps

Many antipoverty programs use geographic targeting to prioritize benefits to people living in specific locations. This paper shows that high-resolution poverty maps, constructed with machine learning ...
Europe PMC

Geographically diverse canid sampling provides novel insights into pre-industrial microbiomes.

Canine microbiome studies are often limited in the geographic and temporal scope of samples studied. This results in a paucity of data on the canine microbiome around the world, especially in contexts ...
PNAS

Microestimates of wealth for all low- and middle-income countries

Many critical policy decisions rely on data about the geographic distribution of wealth and poverty, yet only half of all countries have access to adequate data on poverty. This paper creates a ...