Interesting Engineering

AlphaFold and the architecture that cracked protein structure

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
IEEE

DAGMN: A Geometric and Semantic Detail Aware Gaussian Mixture Deep Neural Network for Land-Use/Land-Cover Classification of High-Resolution Remote Sensing Imagery

Abstract: The deep learning-based semantic segmentation of high-resolution remote sensing imagery plays a crucial role in the field of land-cover monitoring. With the gradual improvement of the ...
SciELO

Effect of hydraulic and geometric factors upon leakage flow rate in pressurized pipes

Computational Fluid Dynamics (CFD) simulations of a leakage in a pressurized pipe were undertaken to determine the empirical effects of hydraulic and geometric factors on the leakage flow rate. The ...
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
Sports Illustrated

Browns dig deep on depth chart for solutions to recent offensive line injuries

The Cleveland Browns are having to find some hidden gems on the bench with the latest injuries to the offensive line affecting the lineup. If the Cleveland Browns already didn't have enough problems ...
Frontiers

3D colored point cloud classification of a deep-sea cold-water coral and sponge habitat using geometric features and machine learning algorithms

Classification of benthic habitats in the deep sea is instrumental in managing and monitoring marine ecosystems as it provides distinct units for which changes can be quantified over time. These ...
IEEE

Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation

Abstract: The test-time adaptation (TTA) of deep-learning-based semantic segmentation models, specific to individual patient data, was addressed in this study. The existing TTA methods in medical ...