eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

New open-source Python-based software boosts space-weather modeling

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving ...
AHA/ASA Journals

Defective Trophoblast Differentiation, Endothelial Dysfunction, and Immune Dysregulation in Preeclampsia Coalesce on a Placental VGLL3-Centered Gene Netw…

BACKGROUND: Preeclampsia affects approximately 1 in 10 pregnancies, leading to severe complications and long-term health ...
IEEE

Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture

Abstract: Convolutional neural networks (CNNs), despite their broad applications, are constrained by high computational and memory requirements. Existing compression techniques often neglect ...
IEEE

Error Characterization and Correction of a Simple Circuit Model for Accurate and Rapid Resonant Frequency Estimation in Traction Power Supply Systems

Abstract: Harmonic resonance phenomena that arise in traction power supply systems (TPSS) can lead to severe operational consequences. Accurate determination of the resonant frequency in TPSS is ...