New physics-based machine-learning method speeds search for 2D quantum materials

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
technologynetworks

Multiomics Data Integration With Machine Learning: Methods, Tools, and Biological Applications

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
IEEE

End-to-End Open-Set Semi-Supervised Learning for Fine-Grained Encrypted Traffic Classification

Abstract: Encrypted traffic classification is crucial for enhancing network management, service quality, and security. However, real-world network environments are inherently open-world scenarios in ...
IEEE

Deep Learning-Based Classification of Nanoscale SEM Features Using Inception

Abstract: Troughs of mark are well known for the role it plays on scanning electron microscope images (SEM) that are used for imaging, which allows users to study the morphological and structural ...
Deadline.com

Kent Moran Feature Thriller ‘The One’ Sets Four

L-R: Emily Kinney, Hayley McFarland, Zach Roerig and Catherine Curtin Getty/Matt Kallish/Lynda Churilla/Gregory Nanamoura EXCLUSIVE: Kent Moran‘s psychological thriller The One, which he’s writing, ...