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 ...
IEEE

Hardware Trojan Detection in Open-Source Hardware Designs Using Machine Learning

Abstract: The globalization of the hardware supply chain reduces costs but increases security challenges with the potential insertion of hardware trojans by third parties. Traditional detection ...
YourStory

Google names LiteRT its universal framework for on‑device AI

Company graduates advanced GPU and NPU acceleration into production, promises simpler tooling and better GenAI support.
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Analytics Insight

Python Vs JavaScript: Choosing the Right Tech Stack for 2026

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...
IEEE

Fuel Efficiency Prediction Using Machine Learning, A TensorFlow-Based Approach to Enhancing Automotive Sustainability

Abstract: Fuel efficiency prediction model with TensorFlow, analyzing key vehicle parameters to better inform sustainable auto design and consumer decisionmaking. This model uses the dataset of auto ...