Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
Analytics Insight

AI in Medical Imaging: Radiology, Pathology, and AI-Powered Scans

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
IEEE

Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data

Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...