Automatic label checking: The missing step in making medical AI reliable

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
IEEE

Orbit-Aware Split Learning: Optimizing LEO Satellite Networks for Distributed Online Learning

Abstract: This paper proposes a split learning (SL) framework tailored for Low Earth Orbit (LEO) satellite constellations, leveraging their cyclical movement to improve energy efficiency. Although ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

The secrets of the Manchester City 'tortoise' and the ominous signs they are ready to hunt down Arsenal in title race (again): How Pep Guardiola builds his terrifying mac…

So many times under Guardiola, City have been slow and steady. So many times creeping up from behind, that inevitable calm ...
Hydrogen Fuel News

Scaling Hydrogen Production to Power California’s Data Centers

Ever paused to think about how the data centers driving our AI obsession are shaking up the energy world? In California, ...
IEEE

Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices

Abstract: Split Learning (SL) recently emerged as an efficient paradigm for distributed Machine Learning (ML) suitable for the Internet Of Things (IoT)-Cloud systems. However, deploying SL on resource ...