Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
Governing

What a National Map Reveals About Rural Data Centers

An analysis of projects and local opposition highlights the growing tensions surrounding AI infrastructure in rural ...
BMJ Global Health

Antibiotic dispensing practices and determinants among informal healthcare providers in low- and middle-income countries: a mixed-methods scoping review

Introduction Antimicrobial stewardship efforts in low- and middle-income countries (LMICs) largely focus on qualified ...
The Daily Yonder

We Mapped Rural Data Center Development – and Opposition. Here’s What We Found

Washington, D.C.’s metropolitan area has long hummed with data centers. The region, which encompasses much of Northern Virginia, has become known as Data ...
IEEE

Class Imbalance in Network Traffic Classification: An Adaptive Weight Ensemble-of-Ensemble Learning Method

Abstract: Network Traffic Classification (NTC) serves as a crucial element in network management, and the rapid progress in machine learning has inspired the utilization of learning methods to discern ...
The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model integrating imaging and cell-free DNA: a model development and validation study ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

China Issues Guidelines to Classify Financial Information Data

China issued guidelines on classifying and grading financial information service data, providing a framework to implement existing data security laws.
IEEE

A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources

Abstract: Data privacy and heterogeneity among healthcare settings present fundamental challenges to machine learning (ML) brain tumor classification (BTC) model development based on local data. In ...